From fe260d0b0c80552b4e9dfefd8204f01657db4438 Mon Sep 17 00:00:00 2001 From: Arush Date: Fri, 16 Aug 2024 23:49:48 -0400 Subject: [PATCH] Updated Hyperlinks --- src/BuilderReference.java | 0 .../setReversed(false).mp4 | 0 .../setReversed(true).mp4 | 0 src/BuilderReferenceVideos/strafeTo().mp4 | 0 .../strafeToLinearHeading().mp4 | 0 src/BuilderReferenceVideos/turn().mp4 | 0 src/BuilderReferenceVideos/turnTo().mp4 | 0 src/BuilderReferenceVideos/waitSeconds().mp4 | 0 src/SUMMARY.md | 4 +- .../npe_at_init/npe_at_init.md | 109 +-- .../npe_at_init/npe_exception.jpg | Bin 1048080 -> 0 bytes src/complete_trajectorybuilder_reference.md | 0 src/electrical/how_to_wire_odometry_pods.md | 35 - .../why_we_should_only_use_usb_30.md | 31 - .../CachingDcMotorEx.java | 22 - src/improving_loop_times/OptimizedOpMode.java | 41 -- .../improving_loop_times.md | 89 --- src/intro_to_programming/setup.md | 102 --- src/misc/terminology_and_acronyms.md | 37 +- src/misc/why_kotlin/ConstructorParams.java | 21 - src/misc/why_kotlin/ConstructorParams.kt | 1 - src/misc/why_kotlin/DefaultValues.java | 9 - src/misc/why_kotlin/DefaultValues.kt | 5 - src/misc/why_kotlin/VarsAndVals.java | 44 -- src/misc/why_kotlin/VarsAndVals.kt | 20 - src/misc/why_kotlin/why_kotlin.md | 150 +--- src/null_list_error_in_rr_10.md | 1 + .../integrating_a_custom_PIDF_controller.md | 201 ------ .../PIDFExample.java | 31 - ...ar_slide_motors_using_a_pidf_controller.md | 38 +- .../RoadRunnerPIDF.java | 93 --- .../RoadRunnerPIDFSF.java | 52 -- ...grate_a_PIDF_controller_with_roadrunner.md | 119 +--- ...bump_on_manual_feedforward_tuner_normal.md | 11 +- ..._feed_forward_tuner_opposite_velocities.md | 22 +- .../manual_feedforward_tuner_overshooots.md | 11 +- ...e_side_during_manual_feedforward_tuning.md | 10 +- .../robot_drifts_while_tuning_follower_pid.md | 14 +- ...peed_on_start_when_following_trajectory.md | 13 +- ...ion_makes_circle_when_spinning_in_place.md | 22 +- ..._plateaus_below_target_velocity_plateau.md | 10 +- 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b/src/BuilderReferenceVideos/turn().mp4 new file mode 100644 index 0000000..e69de29 diff --git a/src/BuilderReferenceVideos/turnTo().mp4 b/src/BuilderReferenceVideos/turnTo().mp4 new file mode 100644 index 0000000..e69de29 diff --git a/src/BuilderReferenceVideos/waitSeconds().mp4 b/src/BuilderReferenceVideos/waitSeconds().mp4 new file mode 100644 index 0000000..e69de29 diff --git a/src/SUMMARY.md b/src/SUMMARY.md index c0308de..bf13fb3 100644 --- a/src/SUMMARY.md +++ b/src/SUMMARY.md @@ -6,8 +6,8 @@ - [Development Environment Setup](./intro_to_programming/setup.md) # Road Runner 1.0 -- [Empty list error in Road Runner 1.0](./roadrunner_10/null_list_error_in_rr_10.md) -- [Complete TrajectoryBuilder Reference](./roadrunner_10/complete_trajectorybuilder_reference.md) +- [Empty list error in Road Runner 1.0](null_list_error_in_rr_10.md) +- [Complete TrajectoryBuilder Reference](complete_trajectorybuilder_reference.md) # Road Runner 0.5.6 - [Is the bump on feedforward tuner normal?](./roadrunner_056/is_the_bump_on_manual_feedforward_tuner_normal.md) diff --git a/src/common_ds_errors/npe_at_init/npe_at_init.md b/src/common_ds_errors/npe_at_init/npe_at_init.md index 2015173..3b91149 100644 --- a/src/common_ds_errors/npe_at_init/npe_at_init.md +++ b/src/common_ds_errors/npe_at_init/npe_at_init.md @@ -1,108 +1 @@ -# [`NullPointerException`](https://docs.oracle.com/javase/8/docs/api/java/lang/NullPointerException.html) on initialization - -## What does it look like? -The general format of the error is: -``` -java.lang.NullPointerException: Attempt to invoke [...] on a null object reference -``` - -On the Driver Station, you may see a stacktrace similar to this: - -![A stacktrace of the Driver Station with a NPE.](./npe_exception.jpg) -
A stacktrace of the Driver Station with a NPE.
- -## Why does this happen? -First, we need to understand more about how Java works a little more in depth. -> This section is a little lengthy, feel free to scroll below for the solution. - -When we program in Java, we have expressions, which have a certain **type**. -The type tells us about the properties of said expression. - -This lets us add `int`s, set the power of a `DcMotor`, or check if a `boolean` is true! - -Type systems also give us a degree of validity; we can't add servos to booleans. - -> The following is a very generalized description with oversights, but is sufficient for conceptual understanding. - -In Java, there are two categories of types: - - Primitive Types - - Primitives are not objects, and do not have methods, only a value. - - Primitives are passed by value. - - `int`, `double`, and `boolean`, are examples of primitives. - - Reference Types - - All types that extend `Object` are passed by reference, and hence, reference types. - - All objects are passed by reference. - - `class`es, `interface`s, `enum`s, arrays - -> ### **What does it mean to pass/store an object by value or reference?** -> -> **Storing by Value:** -> - You are storing the actual value of the variable in memory. -> - This means that when you assign one variable to another, a copy of the value is made. -> - Changes to one variable do not affect the other. -> - ```java -> int bobMoney = 20; -> int jeffMoney = bobMoney; // "jeffMoney" gets the value of "bobMoney", not a reference to "bobMoney" -> -> jeffMoney = 10; // changing "jeffMoney" does not affect "bobMoney" -> -> System.out.println(bobMoney); // 20 -> ``` -> **Storing by Reference:** -> - You are storing a reference or memory address to the location where the actual data is stored. -> - This means that when you assign one variable to another, they both point to the same memory location. -> - Changes to one variable will affect the other because they both refer to the same data. -> - ```java -> Person bob = new Person("bob", 18); -> Person anon = bob; // "anon" now refers to the same object as "bob" -> -> anon.setAge(21); // changing "anon" also changes "bob" -> -> System.out.println(bob.getAge()); // 21 -> ``` - -`null` really refers to a null **reference**. This means any `Object` can have a `null` value. - -Any uninitialized `Object` has no reference to point to; a null reference, or `null`. -NPEs occur when you try to use the typed properties of an object while it points to nothing. -This is so no undefined behavior occurs. - -Java does not provide any means of "null-safety", and so it is the responsibility of the programmer to check for and handle potential null values. - -FTC specific examples include trying to access the `hardwareMap` at instantiation, or just never assigning a value to a `HardwareDevice`. - -## How can I fix it? - -It is important to note that NPEs are a very common, generic exception. -In FTC, by far the majority of the sources of NPEs is because of when hardware devices are accessible. - - Hardware devices are **NOT** accessible at class instantiation; that is, one **cannot** do the following: - - ```java - @TeleOp - public class Testing extends OpMode { - private DcMotor motor = hardwareMap.get(DcMotor.class, "motor"); - - @Override - public void init() { } // it's always a red flag if the init is empty! - - @Override - public void loop() { motor.setPower(1.0); } - } - ``` - - This will fail by saying that the `hardwareMap` reference itself is null, which will lead to a NPE. - - Hardware devices only start to become accessible: - - For `OpMode`s: during and after `init()`, have all inits there - - ```java - @TeleOp - public class Testing extends OpMode { - private DcMotor motor; - - @Override - public void init() { hardwareMap.get(DcMotor.class, "motor"); } - - @Override - public void loop() { motor.setPower(1.0); } - } - ``` - - For `LinearOpMode`s: in `runOpMode()`, have inits before `waitForStart()` - -*Last updated: 2024-03-28* \ No newline at end of file +# NullPointerException on initialization diff --git a/src/common_ds_errors/npe_at_init/npe_exception.jpg b/src/common_ds_errors/npe_at_init/npe_exception.jpg deleted file mode 100644 index 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zJ92u}lkpeBic6-kXC~AG_h1u`YW(cUEOK+jAZGQWl?J`f(8Tzap-F-Lr)Y=$r5XHj z!2IgK_@m)?$Y<59SR?IY82;~EdwcZvug<4-Vad)YMqoHS>GH0`+4nz1>^>!UTIuEU zHCuR-aVmZNIsSDkd_wTl${yQOfd6jqv>ty$+N;g+L&J!JZOw@U5uL4`KMMTx6U=~>W0C96^Q)FK%`BLa%YA6& zU4rcW0RI4mgP>e(3pJC5z~hd892#Vw5_B6ocaYrKIE?ZS%-Q_;uYoQvuHAM#q^|5% zdoyK-C+~XFnb8iG?N6*)v!oNRbciI~~ z@y#|%yP#PFt%KV%xe#mI{RWrfSA%@n7T)^aeX0OC;GX0k(wN^9JT)iF=30(8Z!-W7 z&zk)BnrTERLlM%TF60cJv~nPKKSAX9hvB{0f_qRfG7FANcgW@-br3@muh440# zPXfO_{P{-#&#f@eHh%f4-sdlhzl>nFs01tLCA+1-Y4 zH+ApUs7vu5K}J=XRR`Yt;fFl_Rq*7q%3B4_DT_3!!wz}tMD< zDl9HS?jSd(Ubw1B@f*W3Pvi+=T#Wp!$LG?%7Z+D9K6x3wr!^YOCj9O+azr&g=DGNf z;q@XUD!ES=**O7c>&=wnE zJ(*dq7k1Qb!A?lQ_u{GDd|uMTf;p^L?{U|sziRn2b7Y+JP7ddi$2CdQT>$#4{ub7Z z?8sn6Am`;Qarxj?3%`sSLZhU1erpagt&IL+zGKNfO)!%~ tolerance) { - super(power); - } - } -} \ No newline at end of file diff --git a/src/improving_loop_times/OptimizedOpMode.java b/src/improving_loop_times/OptimizedOpMode.java deleted file mode 100644 index 3d49c06..0000000 --- a/src/improving_loop_times/OptimizedOpMode.java +++ /dev/null @@ -1,41 +0,0 @@ -// imports - -// note the annotation at the top of the op mode (this is all you have to do to use photon) -@Photon -public class OptimizedOpMode extends OpMode { - - private DcMotorEx exampleMotor; - private List allHubs; - private ElapsedTime elapsedtime; - - @Override - public void init() { - - elapsedtime = new ElapsedTime(); - - // this just sets the bulk reading mode for each hub - allHubs = hardwareMap.getAll(LynxModule.class); - for (LynxModule hub : allHubs) { - hub.setBulkCachingMode(LynxModule.BulkCachingMode.MANUAL); - } - - exampleMotor = new CachingDcMotorEx(hardwareMap.get(DcMotorEx.class, "example motor")); - elapsedtime.reset(); - } - - @Override - public void loop() { - // clears the cache on each hub - for (LynxModule hub : allHubs) { - hub.clearBulkCache(); - } - - // after the first time, it won't actually send new commands - exampleMotor.setPower(1); - - telemetry.addData("Motor Position", exampleMotor.getPosition()); - telemetry.addData("Loop Times", elapsedtime.milliseconds()); - elapsedtime.reset(); - } - -} \ No newline at end of file diff --git a/src/improving_loop_times/improving_loop_times.md b/src/improving_loop_times/improving_loop_times.md index bf78b70..24f5079 100644 --- a/src/improving_loop_times/improving_loop_times.md +++ b/src/improving_loop_times/improving_loop_times.md @@ -1,90 +1 @@ # Improving Loop Times - -## Recipe - -**This recipe will first cover the various methods to improve loop times. At the end there is a full example of mode that uses all these methods** - -### Why are fast loop times important? - -The more often your teleop is updated, the more responsive it will be to button clicks and joystick changes. -This can make driving easier. -Additionally, if you are using PID(F) controllers, the more frequently they update the more accurate they are and the less they oscillate. - -### What causes slow loop times? - -Surprisingly, the main cause of slow loop times is not processing difficulties or code complexity. -Most of the processing time is spent on communicating with hardware devices, known as hardware "reads" and hardware "writes". - -Hardware reads are when you are receiving data. -For example, getting an encoder position, reading a color sensor, or accessing the IMU are all hardware reads. -On the other hand, hardware writes are when you are sending data. -For example, setting a motor power, setting a servo position, or configuring an LED are all hardware writes. - -### Checking loop times - -Here is some basic code to measure your loop times in milliseconds. -The more milliseconds your loop takes, the slower your loop times are. - -```java -// assume that this is enclosed in an entire op mode - -ElapsedTime elapsedTime = new ElapsedTime(); - -public void loop() { - - // do stuff - - telemetry.addData("Loop Times", elapsedTime.milliseconds()); - elapsedTime.reset(); -} -``` - -### Bulk Reading - -Other than I2C devices, reading can be done all at once in a "bulk read" for a huge loop time improvement. - -By default, every time you do a hardware read, a new command is sent to retrieve it. -Using one command to retrieve ALL the data is bulk reading. - -This recipe will not go into the different bulk reading modes. To learn more look [here](https://gm0.org/en/latest/docs/software/tutorials/bulk-reads.html). - -### Caching Motor Powers - -So now let's try and reduce unnecessary hardware writes. - -If a motor is going at 0.5 power, and we keep setting the power to 0.5, the output of the motor will not change. -However, each one of those `setPower()` commands is a hardware write which will delay your loop. -A simple solution to this is to only send a new motor power when it is different from the previous. - -However, we can go even further then just difference to remove much more unnecessary writes. -If the motor is currently running at 0.5 power, and you tell it to run at 0.51 power instead, it will have very little effect. -However, it will unnecessarily perform a loop-delaying hardware write. - -Instead, you can store the last power sent to a motor and check every new `setPower()` command to only run if the new power is sufficiently different from the previous power. - - - - -### Photon - -Photon is another way of increasing loop times. -Photon is an experimental library developed by Eeshwar, an alumni originally from team 7244. -It allows for significantly faster loop times by parallelizing much more of the hardware reads and writes. -Installation instructions for Photon are available [here](https://github.com/Eeshwar-Krishnan/PhotonFTC/tree/main). - -Photon has a few known issues at the moment, here's some troubleshooting steps: - -**Some people have installed photon and Android Studio does not recognize the `@Photon` annotation. Instead of `implementation 'com.github.Eeshwar-Krishnan:PhotonFTC:v3.0.1-ALPHA'`, try `implementation 'com.github.Eeshwar-Krishnan:PhotonFTC:main-SNAPSHOT'`.** - -**Also, be warned. Photon somtimes when used just randomly reverses motors and servos (but it's always the same ones reversed the same way).** - - -### Full Example - -```java -{{#rustdoc_include OptimizedOpMode.java::}} -``` -*Last Updated: 2024-05-30* diff --git a/src/intro_to_programming/setup.md b/src/intro_to_programming/setup.md index 5f81ee6..95141bd 100644 --- a/src/intro_to_programming/setup.md +++ b/src/intro_to_programming/setup.md @@ -1,103 +1 @@ # Development Environment Setup -This is a guide designed to assist new FTC programmers setup the [Android Studio](https://developer.android.com/studio/) environment to program a robot. -## Ingredients -A **Computer** that has the [required specs](https://developer.android.com/studio/install) for [Android Studio](https://developer.android.com/studio/) and installing [Java](https://www.oracle.com/java/technologies/downloads/).
-Access to **Admin Permissions** on aforementioned computer.
- -## Software to be Installed -**FTC SDK**: [FtcRobotController](https://github.com/FIRST-Tech-Challenge/FtcRobotController)
-**IDE**: [Android Studio](https://developer.android.com/studio/)
-**Java**: Any recent version of [Java](https://www.oracle.com/java/technologies/downloads/)
-**ADB**: [Android Debug Bridge](https://developer.android.com/tools/releases/platform-tools)
- -## Recipe (Installation) -1. **Download and Install [Java](https://www.oracle.com/java/technologies/downloads/)**: - **
NOTE: Installing [Java](https://www.oracle.com/java/technologies/downloads/) may require Admin Permissions.** - - Download the latest version of [Java](https://www.oracle.com/java/technologies/downloads/). - - Run the installer and follow the on-screen instructions.
-
-2. **Download and Install [Android Studio](https://developer.android.com/studio/)**: - **
NOTE: Installing [Android Studio](https://developer.android.com/studio/) may require Admin Permissions.** - - Download the latest version of [Android Studio](https://developer.android.com/studio/). - - Run the installer and follow the on-screen instructions. - - Open [Android Studio](https://developer.android.com/studio/).
-
-3. **Download and Open [FtcRobotController](https://github.com/FIRST-Tech-Challenge/FtcRobotController)**: - - In the [FtcRobotController](https://github.com/FIRST-Tech-Challenge/FtcRobotController) GitHub repository, press the blue **code** button and press [download zip](https://github.com/FIRST-Tech-Challenge/FtcRobotController/archive/refs/heads/master.zip). - - You can alternatively use [Github Desktop](https://desktop.github.com/) to open [FtcRobotController](https://github.com/FIRST-Tech-Challenge/FtcRobotController) in [Android Studio](https://developer.android.com/studio/), which is not covered in this Recipe. - - Extract the contents of the zip file to a folder (typically in your Downloads or Documents folder). - - In [Android Studio](https://developer.android.com/studio/), press File → Open (⌘ + O on Mac or Win + O on Windows). - - Select the folder you extracted the zip file to, and press open. **DO NOT** open any folder inside the extracted folder. - - On MacOS, you can alternatively drag the folder from Finder onto the [Android Studio](https://developer.android.com/studio/) icon in your taskbar to open the folder. - - Wait for the project to load. You should end up with 3 folders in the Android view panel (which you should automatically be moved to once ready): **FtcRobotController**, **TeamCode**, and **Gradle Scripts**.
-
-4. **Install** [**ADB**](https://developer.android.com/studio/releases/platform-tools): - **
NOTE: Installing [ADB](https://developer.android.com/studio/releases/platform-tools) may require Admin Permissions.** - - Download the latest version of [ADB](https://developer.android.com/studio/releases/platform-tools). - Press on one of the three links depending on your operating system. - - Extract the contents of the zip file to a folder (typically in your Downloads or Documents folder). - - Add the folder to your system's PATH variable: - - **Windows**: - - Open the start menu and search for "Environment Variables", and press enter. - - Click on "Edit the system environment variables". - - Click on "Environment Variables". - - In the "System variables" section, find the "Path" variable and click "Edit". - - Click "New" and paste the path to the folder where you extracted the zip file. - - Click "OK" on all the windows. - - **Mac**:
- - Option 1 - Using [Homebrew](https://brew.sh/) (Highly Recommended)
- [Homebrew](https://brew.sh/) is a package manager for Mac. This is the easiest way and will provide automatic updates. - - Install the [Homebrew](https://brew.sh/) package manager by running the following command in a terminal: - ```bash - /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)" - ``` - - - Then, run this command to install [ADB](https://developer.android.com/studio/releases/platform-tools) using [Homebrew](https://brew.sh/): - ```bash - brew install android-platform-tools - ``` - - Option 2 - Manual Installation - - Go to your Downloads folder with this command in terminal: - ```bash - cd ~/Downloads/ - ``` - - Then, to avoid deleting the ADB files, move the downloaded file to a new folder (the commands below should still work with modern versions of MacOS): - ```bash - mkdir ~/.android-sdk-macosx - mv platform-tools/ ~/.android-sdk-macosx/platform-tools - ``` - - Add `platform-tools` to your path - ```bash - echo 'export PATH=$PATH:~/.android-sdk-macosx/platform-tools/' >> ~/.bash_profile - ``` - - Reload your terminal profile (or restart your terminal): - ```bash - source ~/.bash_profile - ``` - - **Linux**: -
[ADB](https://developer.android.com/studio/releases/platform-tools) should already be installed by default with the installation of Android Studio. If not, you can use the following steps below to install [ADB](https://developer.android.com/studio/releases/platform-tools) manually:
-
- - Open a terminal window and run the following command: - ```bash - nano ~/.bashrc - ``` - - Add the following line to the file: - ```bash - export PATH=$PATH:/path/to/adb/folder - ``` - - Press `Ctrl + X`, then `Y`, then `Enter` to save the file. - - Run the following command: - ```bash - source ~/.bashrc - ``` - - Finally, to check that your properly installed [ADB](https://developer.android.com/studio/releases/platform-tools), in the Android Studio Terminal (Control + F12 on Windows or ⌘ + F12 on Mac), or on your default/preferred terminal, run the following command: - ```bash - adb devices - ``` - - If you see a message saying `List of devices attached`, you have successfully installed ADB (even if there are no devices attached). - -Congratulations! You have successfully installed the necessary software to program an FTC robot. You can now start programming your robot. - -## Troubleshooting -- If you have questions/issues with the installation process, the [Unofficial FTC Discord](https://discord.gg/first-tech-challenge) has many experienced programmers who can help you with all sorts of issues, including installation issues. -- *Last Updated: 2024-05-30* \ No newline at end of file diff --git a/src/misc/terminology_and_acronyms.md b/src/misc/terminology_and_acronyms.md index 93ffd1e..4ac06e0 100644 --- a/src/misc/terminology_and_acronyms.md +++ b/src/misc/terminology_and_acronyms.md @@ -1,36 +1 @@ -# Acronyms - -## Hardware and Electronics -**CHub**: Control Hub
-**EHub/ExHub**: Expansion Hub
-**DS**: Driver Station
-**RC**: Robot Controller
-**ESD**: Electrostatic Discharge
-**DC**: Disconnect - -## SDK Built-In -**SDK**: [Standard Development Kit](https://github.com/FIRST-Tech-Challenge/FtcRobotController)
-**RTP**: RUN_TO_POSITION Motor Mode
-**RUE**: RUN_USING_ENCODERS Motor Mode
-**IMU**: [Internal Measurement Unit (Gyroscope)](https://ftc-docs.firstinspires.org/en/latest/programming_resources/imu/imu.html)
-**EOCV/OCV**: Easy OpenCV/OpenCV | [Vision Processor](https://ftc-docs.firstinspires.org/en/latest/apriltag/vision_portal/visionportal_overview/visionportal-overview.html), [Pipelines](https://github.com/OpenFTC/EasyOpenCV)
-**TFOD**: [TensorFlow Object Detection](https://ftc-docs.firstinspires.org/en/latest/programming_resources/index.html#tensorflow-programming)
-**hmap/hwmap**: HardwareMap - -## Libraries -**RR**: RoadRunner (Motion Planning Library) [0.5.6](https://learnroadrunner.com/), [1.0](https://rr.brott.dev/docs/v1-0/installation/) - -## Controllers+ -**Odo**: [Odometry](https://gm0.org/en/latest/docs/software/concepts/odometry.html?highlight=odometry)
-**MP**: [Motion Profiling](https://www.ctrlaltftc.com/advanced/motion-profiling)
-**FF**: [FeedForward](https://www.ctrlaltftc.com/feedforward-control)
-**PID(F)**: [Proportional Integral Derivative FeedForward Controller](https://www.ctrlaltftc.com/the-pid-controller)
-**KF/EKF**: [Kalman Filter / Extended Kalman Filter](https://www.ctrlaltftc.com/advanced/the-kalman-filter) - -## Other -**GH**: [GitHub](https://github.com/)
-**AS**: [Android Studio](https://developer.android.com/studio)
-**OBJ**: [OnBot Java](https://ftc-docs.firstinspires.org/en/latest/programming_resources/onbot_java/OnBot-Java-Tutorial.html)
-**ADB**: [Android Debug Bridge (used to wireless connect to control hub)](https://developer.android.com/tools/adb) - -*Last Updated: 2024-01-26* \ No newline at end of file +# Terminology and Acronyms diff --git a/src/misc/why_kotlin/ConstructorParams.java b/src/misc/why_kotlin/ConstructorParams.java deleted file mode 100644 index ea6af07..0000000 --- a/src/misc/why_kotlin/ConstructorParams.java +++ /dev/null @@ -1,21 +0,0 @@ -public class ConstructorParams { - private final String val1; - private int var1; - - public ConstructorParams(String val1, int var1) { - this.val1 = val1; - this.var1 = var1; - } - - public int getVar1() { - return var1; - } - - public String getVal1() { - return val1; - } - - public void setVar1(int var1) { - this.var1 = var1; - } -} \ No newline at end of file diff --git a/src/misc/why_kotlin/ConstructorParams.kt b/src/misc/why_kotlin/ConstructorParams.kt deleted file mode 100644 index 0a73c9f..0000000 --- a/src/misc/why_kotlin/ConstructorParams.kt +++ /dev/null @@ -1 +0,0 @@ -class ConstructorParams (val val1: String, var var1: Int) \ No newline at end of file diff --git a/src/misc/why_kotlin/DefaultValues.java b/src/misc/why_kotlin/DefaultValues.java deleted file mode 100644 index 7df1af8..0000000 --- a/src/misc/why_kotlin/DefaultValues.java +++ /dev/null @@ -1,9 +0,0 @@ -public class DefaultValues { - public void function(int arg) { - int a = arg + 10; - } - - public void function() { - function(0); - } -} diff --git a/src/misc/why_kotlin/DefaultValues.kt b/src/misc/why_kotlin/DefaultValues.kt deleted file mode 100644 index 5150613..0000000 --- a/src/misc/why_kotlin/DefaultValues.kt +++ /dev/null @@ -1,5 +0,0 @@ -class DefaultValues { - fun function(arg: Int = 0) { - val a = arg + 10 - } -} \ No newline at end of file diff --git a/src/misc/why_kotlin/VarsAndVals.java b/src/misc/why_kotlin/VarsAndVals.java deleted file mode 100644 index ce66d36..0000000 --- a/src/misc/why_kotlin/VarsAndVals.java +++ /dev/null @@ -1,44 +0,0 @@ -public class VarsAndVals { - private int var1 = 0; - private String var2 = "variable string"; - - private final int val1 = 0; - private final String val2 = "value string"; - - public int getVar1() { - return var1; - } - - public void setVar1(int var1) { - this.var1 = var1; - } - - private String getVar2() { - return var2; - } - - private void setVar2(String string) { - this.var2 = string; - } - - public int getVal1() { - return val1; - } - - private String getVar2() { - return var2; - } - - public void getting() { - final int local1 = getVar1(); - final String local2 = getVar2(); - - final int local3 = getVal1(); - final String local4 = getVal2(); - } - - public void setting() { - setVar1(100); - setVar2("new value"); - } -} \ No newline at end of file diff --git a/src/misc/why_kotlin/VarsAndVals.kt b/src/misc/why_kotlin/VarsAndVals.kt deleted file mode 100644 index 725ef59..0000000 --- a/src/misc/why_kotlin/VarsAndVals.kt +++ /dev/null @@ -1,20 +0,0 @@ -class VarsAndVals { - var var1 = 0 - private var var2 = "variable string" - - val val1 = 0 - private val val2 = "value string" - - fun getting() { - val local1 = var1 - val local2 = var2 - - val local3 = val1 - val local4 = val2 - } - - fun setting() { - var1 = 100 - var2 = "new value" - } -} \ No newline at end of file diff --git a/src/misc/why_kotlin/why_kotlin.md b/src/misc/why_kotlin/why_kotlin.md index e76299a..b6d19fc 100644 --- a/src/misc/why_kotlin/why_kotlin.md +++ b/src/misc/why_kotlin/why_kotlin.md @@ -1,149 +1 @@ -# Why do some FTC programmers use Kotlin? Should I switch? - -*Have you ever seen Kotlin mentioned in the context of FTC code?* - -*Are you curious about why some FTC programmers like to use Kotlin for their code bases?* - -Kotlin is a language with very high cross compatability with Java, which means it can be used to write your FTC code. - -FIRST provides official instructions for adding Kotlin to your project [here](https://ftc-docs.firstinspires.org/en/latest/programming_resources/shared/installing_kotlin/Installing-Kotlin.html) - -## Ingredients - -1. Good understanding of Java -2. Interest in learning and exploring Kotlin - -## The Recipe - -Kotlin is a language that makes a very solid attempt at modernising Java. -It makes writing common Java patterns extremely concise. -Kotlin also makes it easy to write safer code that is less likely to have strange bugs or throw confusing NullPointerExceptions. - -Kotlin is unlikely to be particularly useful to you if you are not using Object-Oriented aspects of Java already. -If you are just writing \[Linear\]OpModes, but are not writing your own classes, Kotlin is probably not for you. -While Kotlin certainly does offer some nice features in this environment, the challenges that come with using Kotlin may also prove hard to overcome unless you are writing more complex and involved code. -It is also advisable not to try to switch to Kotlin at the same time as learning more Object-Oriented skills. - -Due to Kotlin's concise nature, it can sometimes prove difficult to read. -Java likes to put everything out in the open and be very direct and specific, while Kotlin tends to imply much more. - -This recipe will cover some basics of Kotlin syntax with direct comparisons to Java. - -### Vars and Vals - -A big part of Kotlin is its changes to fields, getters, setters, and how they interact with parameters from constructors. - -The following two snippets are effectively equivalent: - -```kt -{{#rustdoc_include VarsAndVals.kt:2:6}} -``` - -```java -{{#rustdoc_include VarsAndVals.java:2:30}} -``` -It's pretty clear that Kotlin saves a lot of work on the front of writing getters and setters. -While this isn't too big of a deal, Kotlin makes itself invaluable in enforcing the usage of these functions in a syntactically shorter manner. - -```kt -{{#rustdoc_include VarsAndVals.kt:8:19}} -``` - -```java -{{#rustdoc_include VarsAndVals.java:32:43}} -``` - -Kotlin enforces the use of getters and setters for property access, but uses the property access syntax! - -Already, our Kotlin code is ~2.5 times shorter than Java. - -If you're worried about defining custom getters and setters, Kotlin allows that too. -More detail is available in the [Kotlin docs](https://kotlinlang.org/docs/properties.html#getters-and-setters). -Kotlin allows for a fairly wide range of cool features around this concept. - -### Storing Constructor Parameters - -Kotlin makes it super easy to take in constructor parameters and store them in the class. -The following two snippets are also equivalent: - -```kt -{{#rustdoc_include ConstructorParams.kt}} -``` - -```java -{{#rustdoc_include ConstructorParams.java}} -``` - -In this case, what was numerous lines in Java is only one in Kotlin. -The Kotlin version is even a little easier to read! - -### Default Values In Methods and Constructors - -Kotlin makes it easy to specify default values to functions and constructors. -The following two snippets are equivalent: - -```kt -{{#rustdoc_include DefaultValues.kt}} -``` - -```java -{{#rustdoc_include DefaultValues.java}} -``` - -Kotlin makes this a little more powerful than demonstrated here, but for most situations, this is pretty straightforward. - -### Null Safety - -Kotlin makes it easy to work with values that can and can't be null, much easier than Java: - -```kt -val neverNull: Int = 10 -val nullable: Int? = null -``` -The `?` lets us know that the variable could be null, and Kotlin will throw compilation warnings if we try to use it without checking and handling it. - -Some more examples: - -```kt -fun addOrThrow(a: Int?, b: Int?) { - val safeA = a ?: throw IllegalStateException("a is null") - val safeB = b!! - return safeA + safeB -} -``` - -The `?:` operator is known as the Elvis operator (after it's resemblance to Elvis Presley) and means that the code after it gets run only if the left-hand side is null. -This allows the function to immediately exit and throw an error before any further processing occurs. - -The `!!` operator is a shortcut for this operation. -The Elvis operator is more powerful and flexible, but if you don't want to throw a specific error and instead crash immediately, the `!!` operator will enforce that the value isn't null. - -Finally: - -```kt -fun nullSafeMethodCall(a: Int?): Double { - return a?.toDouble() ?: throw IllegalStateException("a is null") -} -``` - -We'll combine the concept above with the `?.` operator, which performs a null safe method call. -If a is null, Kotlin won't try to call `.toDouble()` on it and will just return null, which will then be caught by the Elvis operator! - -### Overview - -Kotlin has a lot more to it than this short overview, but these are some of the features that make a big common difference with Java. -Hopefully, this arms you with an expectation of what the rest of Kotlin is like, and some of the reasons that more advanced FTC programmers like to choose it over Java. - -[Kotlin official documentation](https://kotlinlang.org/docs/home.html) - -Overall, the best way to learn is just to jump in and give it a try. -If you get stuck, search it up, or take a look at the [docs](https://kotlinlang.org/docs/home.html) again! - -If you feel like you need a complete example of using Kotlin for FTC, I advise you ask in the FTC Discord. -Most people who use Kotlin write fairly complex codebases and use different combinations of libraries, so you might need to ask some questions to find an example relevant to you. - -Another good place to search for Kotlin code in an FTC context is in libraries. -Many FTC software libraries such as [Roadrunner](https://github.com/acmerobotics/road-runner) are written in Kotlin, so they can provide great usage examples. - - -*Last updated: 2024-05-29* +# Why Kotlin? diff --git a/src/null_list_error_in_rr_10.md b/src/null_list_error_in_rr_10.md new file mode 100644 index 0000000..b0fd522 --- /dev/null +++ b/src/null_list_error_in_rr_10.md @@ -0,0 +1 @@ +# Empty list error in Road Runner 1.0 diff --git a/src/pidf_controllers/integrating_a_custom_PIDF_controller.md b/src/pidf_controllers/integrating_a_custom_PIDF_controller.md index 8a19c68..232e8ec 100644 --- a/src/pidf_controllers/integrating_a_custom_PIDF_controller.md +++ b/src/pidf_controllers/integrating_a_custom_PIDF_controller.md @@ -1,202 +1 @@ # Integrating a Custom PID(F) Controller - -*This recipe does not cover usage for Roadrunner or Command-Based structures.* - -[PID(F) controllers](https://www.ctrlaltftc.com/the-pid-controller) are some of the most used controllers in FTC. -However, it can be confusing and challenging to properly integrate them into your OpModes. -This recipe will go over an example of how to integrate a PID(F) controller alongside a manual control system. - -## Ingredients - -1. A PID or PIDF controller class (this should be a file that is something like PIDFController.java, or you may use a pre-made one from a library like FTCLib). -2. A use case for the PID(F). -3. An OpMode or LinearOpMode. - -## The Recipe - -### Creating a PID(F) Controller - -The first part of using a PID(F) controller is creating one. -To do this, we need to declare the PID(F) controller within the OpMode: - -```java -package org.firstinspires.ftc.teamcode; - -import com.qualcomm.robotcore.eventloop.opmode.TeleOp; -import com.qualcomm.robotcore.eventloop.opmode.LinearOpMode; // This example is for a LinearOpMode, though a similar idea applies to regular OpModes. -import org.firstinspires.ftc.teamcode.controllers.PIDController; // This may vary depending on what implementation you are using. -import org.firstinspires.ftc.teamcode.controllers.PIDFController; // This may vary depending on what implementation you are using. - -@TeleOp -public class ExampleOpMode extends LinearOpMode { - - // This line creates a PIDF controller named examplePIDF that has coefficients of: - // kP = 0 - // kI = 0 - // kD = 0 - // kF = 0 - private PIDFController examplePIDF = new PIDFController(0, 0, 0, 0); - - // This line creates a PID controller named examplePID that has coefficients of: - // kP = 0 - // kI = 0 - // kD = 0 - private PIDController examplePID = new PIDController(0, 0, 0); - - @Override - public void runOpMode() { - // OpMode code goes here - } - -} -``` - -Now that we have our PID(F) controller, we need to use it! -One of the most common use cases for a PID(F) controller is moving a motor to a certain motor encoder position. -As an example, let's say we have a linear slide, and want to move it to 500 ticks when we press "a." -We also want to be able to move it up and down using the triggers. -The following code is for a LinearOpMode (the `while (opModeIsActive())` section would go in the `loop()` function for a OpMode): - -```java - - -public void runOpMode() { - // Put all of your initialization here. - DcMotor slides = hardwareMap.dcMotor.get("slides"); - waitForStart(); - - int targetPosition = 500; - - // We will use this variable to determine if we want the PIDF to run. - boolean usePIDF = false; - - Gamepad lastGamepad1 = new Gamepad(); - Gamepad lastGamepad2 = new Gamepad(); - - while (opModeIsActive()) { - - // This is a rising-edge detector that runs if and only if "a" was pressed this loop. - if (gamepad1.a && !lastGamepad1.a) { - usePIDF = true; - } - - - if (gamepad1.left_trigger > 0) { - slides.setPower(gamepad1.left_trigger); - - // If we get any sort of manual input, turn PIDF off. - usePIDF = false; - } else if (gamepad1.right_trigger > 0) { - slides.setPower(gamepad1.right_trigger); - - // If we get any sort of manual input, turn PIDF off. - usePIDF = false; - } else if (usePIDF) { - // Sets the slide motor power according to the PIDF output. - slides.setPower(examplePIDF.calculate(slides.getCurrentPosition(), targetPosition)); - } - } -} - - -``` - -This is a lot, so let's break it down piece by piece. -First, we initialize our slide motor, which we call `slides`. - -```java -DcMotor slides = hardwareMap.dcMotor.get("slides"); -``` - -Next, we wait for the program to start and declare some variables. - -```java -waitForStart(); - -int targetPosition = 500; - -// We will use this variable to determine if we want the PIDF to run. -boolean usePIDF = false; - -Gamepad lastGamepad1 = new Gamepad(); -Gamepad lastGamepad2 = new Gamepad(); -``` - -`targetPosition` is simply the position we want the slides to go to, which is 500. -`usePIDF` stores the state of our system, i.e. whether we want to run the PIDF or use manual control. -`lastGamepad1` and `lastGamepad2` are used for [Rising Edge Detectors](https://gm0.org/en/latest/docs/software/tutorials/gamepad.html?detector#rising-edge-detector). -In short, they detect when a button begins to be pressed, and ignore when it is held. - -The next part is the while loop, which ensures that the code runs in a loop until the OpMode stops. - -```java -while (opModeIsActive()) -``` - -We then use a [Rising Edge Detector](https://gm0.org/en/latest/docs/software/tutorials/gamepad.html?detector#rising-edge-detector) to check if "a" was just pressed. -If it was, we set `usePIDF` to true to tell the program to move to the target position. - -```java -// This is a rising-edge detector that runs if and only if "a" was pressed this loop. -if (gamepad1.a && !lastGamepad1.a) { - usePIDF = true; -} -``` - -The next part is a little complicated, but the idea is that we only want to call `slide.setPower()` once, so we group all the ways it can be called together so that they can't happen at the same time. - -First, we check if the left trigger is pressed. -If it is, we set the slide power to an appropriate value and switch to manual control mode by setting `usePIDF` to `false`. - -```java -if (gamepad1.left_trigger > 0) { - slides.setPower(gamepad1.left_trigger); - - // If we get any sort of manual input, turn PIDF off. - usePIDF = false; -} -``` - -Next, we do the same check, but for the right trigger. - - -```java -else if (gamepad1.right_trigger > 0) { - slides.setPower(gamepad1.right_trigger); - - // If we get any sort of manual input, turn PIDF off. - usePIDF = false; -} -``` - -Note that we use `else` to only run this code if the left trigger is not pressed. -This prevents pressing both triggers at the same time from causing any issues. - -**Tip:** If your triggers return nonzero values even when they are not being pressed, you can increase the minimum value (the `0` in the statement `if (gamepad1.left_trigger > 0)`) from `0` to something like `0.1`. - -Finally, if there are no manual inputs, and we are in the PID(F) state, we run the PID(F). - -```java -else if (usePIDF) { - // Sets the slide motor power according to the PIDF output. - slides.setPower(examplePIDF.calculate(slides.getCurrentPosition(), targetPosition)); -} -``` - -This is a pretty standard way of using the PID(F) output to set a motor power. -`slides.getCurrentPosition()`, as the name implies, just returns the current slide position, in ticks. -The [*FTCLib*](https://ftclib.org/) PID(F) assumes that the first input of the function is the place where your motor is, and the second input is the place where your motor wants to be. -We will be using the *FTCLib* PID(F) syntax here for the sake of having some standard, but either way works. - -If you've read through this entire thing, then congrats! -You should now have a fully functioning PID(F) controller that you can implement anywhere, even in conjunction with manual control. - -Note that the example we went through is just one way PID(F)s can be used, and there are many ways to achieve this result. -Don't worry if your code doesn't look exactly like this example! - -As an aside, the technique we used to make sure the PID(F) control and manual control did not interfere is a simple version of what's known as a [**Finite State Machine**](https://gm0.org/en/latest/docs/software/concepts/finite-state-machines.html). -This idea of having multiple possible states and only running one at a time to ensure they don't interfere can be used for much more complex systems, such as controlling an entire Autonomous! - -Best of luck with your code! - -*Last updated: 2024-05-29* \ No newline at end of file diff --git a/src/pidf_controllers/syncing_two_linear_slide_motors_using_a_pidf_controller/PIDFExample.java b/src/pidf_controllers/syncing_two_linear_slide_motors_using_a_pidf_controller/PIDFExample.java deleted file mode 100644 index f20058c..0000000 --- a/src/pidf_controllers/syncing_two_linear_slide_motors_using_a_pidf_controller/PIDFExample.java +++ /dev/null @@ -1,31 +0,0 @@ -public class PIDFExample extends LinearOpMode { - - // PID(F) declaration - // kp = 0, ki = 0, kd = 0, kf = 0; - - private PIDFController examplePIDF = new PIDFController(0, 0, 0, 0); - - @Override - public void runOpMode() { - int targetPosition = 0; - - // motor setup - DcMotorEx leftSlide = hardwareMap.get(DcMotorEx.class, "leftSlide"); - DcMotorEx rightSlide = hardwareMap.get(DcMotorEx.class, "rightSlide"); - - waitForStart(); - - while(opModeIsActive()) { - /* - Calculates PID based only on one encoder. - This can also be the average position of the two linear slides, but we haven't noticed much difference - */ - double power = PIDFController.update(leftSlide.getCurrentPosition(), targetPosition); - - // see how both motors are getting the same power - leftSlide.setPower(power); - rightSlide.setPower(power); - } - } - -} \ No newline at end of file diff --git a/src/pidf_controllers/syncing_two_linear_slide_motors_using_a_pidf_controller/syncing_two_linear_slide_motors_using_a_pidf_controller.md b/src/pidf_controllers/syncing_two_linear_slide_motors_using_a_pidf_controller/syncing_two_linear_slide_motors_using_a_pidf_controller.md index 85680d6..177940d 100644 --- a/src/pidf_controllers/syncing_two_linear_slide_motors_using_a_pidf_controller/syncing_two_linear_slide_motors_using_a_pidf_controller.md +++ b/src/pidf_controllers/syncing_two_linear_slide_motors_using_a_pidf_controller/syncing_two_linear_slide_motors_using_a_pidf_controller.md @@ -1,37 +1 @@ -# Syncing Two Linear Slide Motors Using a PIDF Controller - -### Ingredients - -1. A PID(F) controller -2. Tuned PID(F) coefficients - -## The Recipe - -### The Problem - -Linear slides powered by two different motors can end up twisted, with one slide higher than the other. -This can happen if the two encoders get out of sync. -If you are using the RUN_TO_POSITION motor mode, this causes one slide to be supplied more power than the other. -Even if you are using a custom PID(F) controller on each motor, the same problem would occur. - -### Methodology - -**The BEST way to keep these in sync is to have them be mechanically connected with a bar or a piece of channel. -If the two act as one rigid body, then it is a lot less dependent on software. -However, this is not always possible, hence the software solutions.** - -Instead, the way this recipe will explain is with a leader and a follower linear slide motor. -This means we will use a PID(F) controller on one of the linear slide positions and just set that power to both motors. -This resolves the issue of the two linear slides being supplied different powers. -If both motors are going the same speed and both linear slides are well tensioned, the linear slides should stay synced. - -### Code Example - -This code example is going to assume you have a working PID(F) controller class and tuned coefficients. - -```java -{{#rustdoc_include PIDFExample.java:3:29}} -``` - - -*Last Updated: 2024-05-29* \ No newline at end of file +# Syncing two linear slide motors using a PID(F) Controller diff --git a/src/roadrunner_056/how_to_integrate_a_PIDF_controller_with_roadrunner/RoadRunnerPIDF.java b/src/roadrunner_056/how_to_integrate_a_PIDF_controller_with_roadrunner/RoadRunnerPIDF.java deleted file mode 100644 index 5cfd8fb..0000000 --- a/src/roadrunner_056/how_to_integrate_a_PIDF_controller_with_roadrunner/RoadRunnerPIDF.java +++ /dev/null @@ -1,93 +0,0 @@ -public class RoadRunnerPIDF extends LinearOpMode { - // the capitalization and snake_case is just convention because the values of an enum are constants - public enum STATES { - INIT, - DRIVE_FORWARD, - STRAFE_LEFT_AND_LIFT_SLIDES, - DRIVE_BACKWARD, - STOP; - } - - private STATES previousState = STATES.INIT; - private STATES currentState = STATES.INIT; - private int targetPosition = 0; - - private TrajectorySequence forward; - private TrajectorySequence strafeLeft; - private TrajectorySequence backward; - - private SampleMecanumDrive drive; - private DcMotorEx linearSlides; - private PIDFController PIDF; - - public void runOpMode() { - /* for the purpose of this recipe, I will be using linear slides with PIDF control to demonstrate. - The linear slides will simply be called linearSlides. - */ - - // linear slide initialization code - // pidf initialization code - - drive = new SampleMecanumDrive(hardwareMap); - drive.setPoseEstimate(new Pose2d()); - - forward = drive.TrajectorySequenceBuilder(new Pose2d()) - .forward(10) - .build(); - - strafeLeft = drive.TrajectorySequenceBuilder(forward.end()) - .addDisplacementMarker(() -> { - targetPosition = 800; - }) - .strafeLeft(10) - .build(); - - backward = drive.TrajectorySequenceBuilder(strafeLeft.end()) - .back(10) - .build(); - - waitForStart(); - - currentState = STATES.DRIVE_FORWARD; - - while(opModeIsActive) { - switch (currentState) { - case (INIT): - break; - case (DRIVE_FORWARD): - if (previousState != currentState) { - // everything in here will run once when the state switches - - drive.followTrajectoryAsync(forward) - previousState = STATES.DRIVE_FORWARD; - } else if (!drive.isBusy()) { - currentState = STATES.STRAFE_LEFT_AND_LIFT_SLIDES; - } - break; - case (STRAFE_LEFT_AND_LIFT_SLIDES): - if (previousState != currentState) { - // inside this trajectory sequence the targetPosition is set and the slides will start updating - drive.followTrajectorySequenceAsync(strafeLeft); - } else if (!drive.isBusy() && linearSlides.atTarget()) { - currentState = STATES.DRIVE_BACKWARD; - } - break; - case (DRIVE_BACKWARD): - if (previousState != currentState) { - drive.followTrajectorySequenceAsync(backward); - previousState = STATES.DRIVE_BACKWARD; - } else if (!drive.isBusy()) { - currentState = STATES.STOP; - } - break; - case (STOP): - break; - } - - // outside of the switch we update our slides, that way they are always receiving new information - drive.update(); - double power = PIDF.calculate(linearSlides.getCurrentPosition(), targetPosition) - linearSlides.setPower(power); - } - } -} \ No newline at end of file diff --git a/src/roadrunner_056/how_to_integrate_a_PIDF_controller_with_roadrunner/RoadRunnerPIDFSF.java b/src/roadrunner_056/how_to_integrate_a_PIDF_controller_with_roadrunner/RoadRunnerPIDFSF.java deleted file mode 100644 index 86b667a..0000000 --- a/src/roadrunner_056/how_to_integrate_a_PIDF_controller_with_roadrunner/RoadRunnerPIDFSF.java +++ /dev/null @@ -1,52 +0,0 @@ -public class RoadRunnerPIDFSF extends LinearOpMode { - - public enum STATES { - INIT, - DRIVE_FORWARD, - STRAFE_LEFT_AND_LIFT_SLIDES, - DRIVE_BACKWARD, - STOP; - } - - SampleMecanumDrive drive; - DcMotorEx linearSlides; - PIDFController PIDF; - int targetPosition = 0; - - public void runOpMode() { - - // all the same initialization and trajectory building as above - - StateMachine machine = new StateMachine() - .state(STATES.INIT) // creates a new state - .transition(() -> isStarted()) // condition to transition from this state to the next one - - .state(STATES.DRIVE_FORWARD) // register a new state - .onEnter(() -> drive.followTrajectorySequenceAsync(forward)) // code to happen one time when entering this state - .transition(() -> !drive.isBusy()) - - .state(STATES.STRAFE_LEFT_AND_LIFT_SLIDES) - .onEnter(() -> drive.followTrajectorySequenceAsync(strafeLeft)) - .transition(() -> (!drive.isBusy() && linearSlides.atTarget())) - - .state(STATES.DRIVE_BACKWARD) - .onEnter(() -> drive.followTrajectorySequenceAsync(backward)) - .transition(() -> !drive.isBusy()) - - .state(STATES.STOP) - - .build(); - // building this StateMachine doesn't actually do anything. We still need to run it - - waitForStart(); - - machine.start(); // this starts the state machine, putting us into the first state - - while(opModeIsActive()) { - machine.update(); - drive.update(); - double power = PIDF(linearSlides.getCurrentPosition(), targetPosition); - linearSlides.setPower(power); - } - } -} \ No newline at end of file diff --git a/src/roadrunner_056/how_to_integrate_a_PIDF_controller_with_roadrunner/how_to_integrate_a_PIDF_controller_with_roadrunner.md b/src/roadrunner_056/how_to_integrate_a_PIDF_controller_with_roadrunner/how_to_integrate_a_PIDF_controller_with_roadrunner.md index 1224c96..026d418 100644 --- a/src/roadrunner_056/how_to_integrate_a_PIDF_controller_with_roadrunner/how_to_integrate_a_PIDF_controller_with_roadrunner.md +++ b/src/roadrunner_056/how_to_integrate_a_PIDF_controller_with_roadrunner/how_to_integrate_a_PIDF_controller_with_roadrunner.md @@ -1,118 +1 @@ -# How to Integrate a PIDF Controller With Roadrunner - -*This recipe will assume you have a functioning PIDF controller that has already been tuned. If you do not, refer to [integrating a custom PIDF controller](./how_to_integrate_a_PIDF_controller_with_roadrunner.md).* - -## Ingredients - -1. A PID or PIDF controller class -2. Tuned PID(F) gains -3. An OpMode or LinearOpMode -4. A Finite State Machine - -## The Recipe - -### PID(F) Controller and gains - -This recipe assumes you have 1) a PID(F) class that works and 2) tuned PID(F) gains. -This recipe will not go over how to implement these; you should reference [integrating a custom PIDF controller](./how_to_integrate_a_PIDF_controller_with_roadrunner.md). - -### Finite State Machines - -In short, a finite state machine is a code structure which allows code to run linearly while also having quasi-parallel actions running. -The example we will be working with today is driving with Roadrunner while controlling linear slides. -For a more indepth understanding of what finite state machines are, visit [gm0](https://gm0.org/en/latest/docs/software/concepts/finite-state-machines.html?highlight=finite). - -You can work with Finite State Machines in either a LinearOpMode or an OpMode, either work. -For this recipe, we will be using a LinearOpMode. -To use an OpMode, move everything before the while loop into the `init()` function and everything in the while loop into the `loop()` function. - -We will first have a full example and then break it down piece by piece. - -*This example is more like pseudocode than real code and is meant to demonstrate a methodology.* - -```java -{{#rustdoc_include RoadRunnerPIDF.java::}} -``` - -Okay, let's break this down piece by piece. -First, what is an "enum" and why do we use them? -Enums are a way to define a set of named constant values. -They provide a convenient and readable way to work with predefined, named values in your code. -Here, we used an enum to describe the various states the robot could be in. - -```java -{{#rustdoc_include RoadRunnerPIDF.java:3:9}} -``` - -By using names with meaning like these, it is much clearer when writing and reading the code what each block does. -It also means we don't have to remember that state 0 means START and state 1 means DRIVE_FORWARD, etc. - -Next, we initialize everything and build our trajectories. -The important one to note is creating `strafeLeft`, which includes slide movement. - -```java -{{#rustdoc_include RoadRunnerPIDF.java:38:43}} -``` - -We used a displacement marker, which tells Roadrunner to run this code at the specified position along the trajectory. -The `() -> {}` is the lambda format for a one time use function. -The empty parentheses indicate that the function requires no arguments, and the curly braces denote the start of the function. -In this case, we're just setting the `targetPosition` variable, but this marker could include setting servo position, reading sensors, or anything else really. - -```java -{{#rustdoc_include RoadRunnerPIDF.java:57:66}} -``` - -So now we're getting to the Finite State Machine (FSM) part. -The first part of this case, which you'll see in each part, is checking whether previous and current states are equal. -This allows us to run code the first time it enters this state, like starting a trajectory (in this example). -Then inside that same block, we also need to set the previous state to the one we're in. - -The `else if` just checks if we're done with this state to detect when to move on. -This is the transition trigger. -In this case, it detects when the Roadrunner trajectory finishes. - -The next case is the more interesting one. - -```java -{{#rustdoc_include RoadRunnerPIDF.java:67:74}} -``` - -Here we have the same structure. -However, this time our transition trigger is finishing the Roadrunner trajectory and the linear slides reaching their target. -Because this runs in a loop, once the displacement marker triggers and changes the targetPosition, the PID update that runs at the end of every loop will move the linear slides accordingly. - -It is also important to note that when using async following, you must call drive.update() once every loop. -This allows Roadrunner to track the robot's movement and to ensure the motors are following the trajectory. -Without it, the robot will not move. - -Whew! You should now be able to integrate a PID(F) controller with Roadrunner trajectories. - -This example was meant to be general and explain the structure and concepts needed to make PID(F) controllers work with Roadrunner. -It will almost certainly require changes to make it work exactly how you wish, so don't worry if your code doesn't look exactly like this example! - -### State Factory - -[State Factory](https://state-factory.gitbook.io/state-factory/installation) is a library which helps abstract a lot of the code of a finite state machine. -It also helps ensure you don't forget to write a break or an exit case. - -*This recipe will not cover the installation of State Factory. -Please follow the instructions on their gitbook to install it.* - -So, we're going to write the same finite state machine but this time using State Factory. - -```java -{{#rustdoc_include RoadRunnerPIDFSF.java::}} -``` - -These two examples both do the exact same thing. -This introduction to State Factory was mostly meant to show how it can simplify writing FSMs. - -Android studio may recommend changing something like `() -> !drive.isBusy()` to `!drive::isBusy`. -These are simply two different ways to write the same thing. -The double colon works like `class/instance::method`. - -**It is important to note that these were extremely simple FSMs and do not demonstrate their full capabilities. -This was simply meant to show you a way to integrate RoadRunner and a PIDF controller.** - -*Last Updated: 2024-01-23* \ No newline at end of file +# How to integrate a PIDF controller with Road Runner diff --git a/src/roadrunner_056/is_the_bump_on_manual_feedforward_tuner_normal.md b/src/roadrunner_056/is_the_bump_on_manual_feedforward_tuner_normal.md index eb6c891..e73688b 100644 --- a/src/roadrunner_056/is_the_bump_on_manual_feedforward_tuner_normal.md +++ b/src/roadrunner_056/is_the_bump_on_manual_feedforward_tuner_normal.md @@ -1,10 +1 @@ -# Is the Bump On Manual Feedforward Tuner Normal? - -![image of deceleration bump](../static/is_the_bump_on_manual_feedforward_tuner_normal/deceleration_bump.png) - -Yes! -The bump when accelerating and decelerating is normal. -It is caused by a fundamental hardware issue with the Control and Expansion Hubs that makes deceleration weird. -There's nothing you can do about it; just try to get the plates and slopes to match up as closely as possible. - -*Last Updated: 2024-05-29* \ No newline at end of file +# Is the bump on feedforward tuner normal? diff --git a/src/roadrunner_056/manual_feed_forward_tuner_opposite_velocities.md b/src/roadrunner_056/manual_feed_forward_tuner_opposite_velocities.md index 20f0cdd..4beeddb 100644 --- a/src/roadrunner_056/manual_feed_forward_tuner_opposite_velocities.md +++ b/src/roadrunner_056/manual_feed_forward_tuner_opposite_velocities.md @@ -1,21 +1 @@ -# Target Velocity is Positive When Measured Velocity is Negative When Tuning Manual Feedforward - -If MotorDirectionDebugger works perfectly, this means that either your right side encoders are plugged in to the wrong ports (so swap `frontRight` and `backRight` encoder cables) or your left side encoders are plugged in to the wrong ports (so swap `frontLeft` and `backLeft` encoder cables). -An easy way to debug this is to add a `printEncoderValues` telemetry method in `SampleMecanumDrive`. - -```java -public void printEncoderValues(Telemetry telemetry) { - telemetry.addData("LeftFrontPos: ", leftFront.getCurrentPosition()); - telemetry.addData("RightFrontPos: ", rightFront.getCurrentPosition()); - telemetry.addData("LeftRearPos: ", leftRear.getCurrentPosition()); - telemetry.addData("RightBackPos: ", rightRear.getCurrentPosition()); -} -``` -Then at the end of every loop in MotorDirectionDebugger, call -```java -drive.printEncoderValues(telemetry); -``` - - - -*Last updated: 2024-05-30* \ No newline at end of file +# Manual Feedforward tuner opposite velocity diff --git a/src/roadrunner_056/manual_feedforward_tuner_overshooots.md b/src/roadrunner_056/manual_feedforward_tuner_overshooots.md index 93eb9ba..59e2838 100644 --- a/src/roadrunner_056/manual_feedforward_tuner_overshooots.md +++ b/src/roadrunner_056/manual_feedforward_tuner_overshooots.md @@ -1,10 +1 @@ -# Manual Feedforward Tuner Overshoots - -This is normal! -The REV hub motor controllers are not great at decelerating, so this typically causes about a 10% overshoot on manual feedforward tuner. -It is okay to move on to the next tuning steps. - -However, when you get to the feedback tuning, whether it's "Back and Forth" or "FollowerPIDTuner," you will want to add a non-zero kD term. -This will help the robot not overshoot. - -*Last Updated: 2024-05-30* \ No newline at end of file +# Manual feedforward tuner overshoots diff --git a/src/roadrunner_056/robot_drifts_to_one_side_during_manual_feedforward_tuning.md b/src/roadrunner_056/robot_drifts_to_one_side_during_manual_feedforward_tuning.md index 9f051a2..315925a 100644 --- a/src/roadrunner_056/robot_drifts_to_one_side_during_manual_feedforward_tuning.md +++ b/src/roadrunner_056/robot_drifts_to_one_side_during_manual_feedforward_tuning.md @@ -1,9 +1 @@ -# Robot Drifts to One Side During Manual Feedforward Tuning - -If this happens, you shouldn't worry. -This can be caused by many reasons, such as an unbalanced robot or one wheel having slightly more friction than the others. - -Whatever the reason, this will be corrected for in the later tuning steps. -It can safely be ignored. - -*Last Updated: 2024-05-30* \ No newline at end of file +# Robot drifts to one side during feedforward tuning diff --git a/src/roadrunner_056/robot_drifts_while_tuning_follower_pid.md b/src/roadrunner_056/robot_drifts_while_tuning_follower_pid.md index 970cdf2..98a2d76 100644 --- a/src/roadrunner_056/robot_drifts_while_tuning_follower_pid.md +++ b/src/roadrunner_056/robot_drifts_while_tuning_follower_pid.md @@ -1,13 +1 @@ -# Robot Drifts While Tuning Follower PID - -### Check Localization -Run `LocalizationTest` and drive the robot back and forth a few times. -You want to ensure that the behavior shown on the dashboard mirrors that of what you can see. -If the robot was veering in `BackAndForth`, see if the dashboard bot is veering the same. -If you notice the same discrepancy while running `LocalizationTest`, it means the problem is in your localization. - -### Tuning PID -If you're certain that localization works fine and the robot "knows" that it's wrong, but isn't correcting, then you need to tune your PID values more. -You can tune your controller through the steps on [this page of Game Manual 0](https://gm0.org/en/latest/docs/software/concepts/control-loops.html#tuning-a-pid-loop). - -*Last Updated: 2024-01-21* \ No newline at end of file +# Robot drifts while tuning follower PID diff --git a/src/roadrunner_056/robot_drives_full_speed_on_start_when_following_trajectory.md b/src/roadrunner_056/robot_drives_full_speed_on_start_when_following_trajectory.md index 3a0b43d..efba5e0 100644 --- a/src/roadrunner_056/robot_drives_full_speed_on_start_when_following_trajectory.md +++ b/src/roadrunner_056/robot_drives_full_speed_on_start_when_following_trajectory.md @@ -1,12 +1 @@ -# Robot Drive Full Speed on Start When Following Trajectory - -If you are running an OpMode that has Roadrunner trajectories in it, and when you start moving it goes at full speed right away, this almost always means you forgot to set a pose estimate. -In `init()`, before you run any trajectories, make sure you have `drive.setPoseEstimate(startingPose)`, whatever your starting pose may be. -Make sure that the trajectory starting pose matches this: -```java -Trajectory traj = drive.trajectoryBuilder(startingPose) - ... - .build(); -``` - -*Last Updated: 2024-01-20* \ No newline at end of file +# Robot drives full speed on start when following trajectory diff --git a/src/roadrunner_056/robot_localization_makes_circle_when_spinning_in_place.md b/src/roadrunner_056/robot_localization_makes_circle_when_spinning_in_place.md index ef8cfe5..5604d6d 100644 --- a/src/roadrunner_056/robot_localization_makes_circle_when_spinning_in_place.md +++ b/src/roadrunner_056/robot_localization_makes_circle_when_spinning_in_place.md @@ -1,21 +1 @@ -# Robot Localization Makes Circle When Spinning In Place - -So when you spin the robot in place, the drawing on FTC Dashboard is making a circle. -This is normal and can be fixed. - -### What causes it? -When the robot is spun, the strafing odometry wheel moves which makes the localization think the robot moved in a circle. -This can be counteracted using the forward distance from the strafing tracking wheel to the center of rotation. - -### Three Wheel Solution -For three wheel odometry, this means your forward offset isn't tuned correctly. -Run the tuner and replace the value. -If that doesn't work, check whether the strafing pod is closer to the front or the back of the robot. -If it's closer to the back, the offset should be negative. - -### Two Wheel Solution -The solution for two wheel odometry is largely the same. -Instead of the forward offset, you must tune the x and y position of the strafing pod. -The same advice about positive and negative offset still applies. - -*Last Updated: 2024-05-30* \ No newline at end of file +# Robot localization makes circles when spinning in place diff --git a/src/roadrunner_056/robot_velocity_plateaus_below_target_velocity_plateau.md b/src/roadrunner_056/robot_velocity_plateaus_below_target_velocity_plateau.md index d4ae97b..9cdf3cd 100644 --- a/src/roadrunner_056/robot_velocity_plateaus_below_target_velocity_plateau.md +++ b/src/roadrunner_056/robot_velocity_plateaus_below_target_velocity_plateau.md @@ -1,9 +1 @@ -# Robot Velocity Plateaus Below Target Velocity Plateaus - -![image of robot velocity not reaching max target velocity](../static/robot_velocity_plateaus_below_target_velocity_plateau/lowPlateau.png) - -This means you've reached your robot's actual max velocity. -You should lower the max velocity specified in DriveConstants. -Run the MaxVelocityTuner to find the recommended max velocity to use. - -*Last Updated: 2024-02-08* \ No newline at end of file +# Robot velocity plateaus below target velocity plateau diff --git a/src/roadrunner_10/BuilderReference.java b/src/roadrunner_10/BuilderReference.java deleted file mode 100644 index e9892f1..0000000 --- a/src/roadrunner_10/BuilderReference.java +++ /dev/null @@ -1,144 +0,0 @@ -// Robot waits for the specified time in seconds (NOT MILLISECONDS!) -// This is a simple wait segment that is useful for running actions in between trajectories. - -.waitSeconds(5) - - - -// Robot turns counterclockwise by the specified angle -// This turn is in radians, so you must convert your degrees to radians using `Math.toRadians()`. -// If you see `Math.PI`, it is already in radians, and does not need `Math.toRadians()`. Degrees from 0 to 360 need to be converted to radians. -// To turn clockwise, use a negative angle. - -.turn(-Math.PI / 6) // Turns clockwise by `Math.PI / 6` degrees, ending at a heading of 0 degrees -.turn(Math.PI / 6) // Turns counterclockwise by `Math.PI / 6` degrees, ending at the original heading - - - -// Robot turns counterclockwise to the specified angle -// This turn is in radians, so you must convert your degrees to radians using `Math.toRadians()`. -// By default, the robot will turn in the shortest direction to the specified heading. -// To turn in the opposite direction, you can add or subtract a very small number (1e-6) to the heading you want to turn to. -// If it still does not work, you can use the `turn()` method instead. - -.turnTo(Math.toRadians(90)) // Turns to a heading of 90 degrees -.turnTo(Math.PI / 6) // Turns to a heading of `Math.PI / 6` degrees, ending at the original heading - - - -// `setTangent()` allows you to set a heading tangent on a trajectory, allowing you to follow a trajectory at arbitrary heading tangents -// This is equivalent to specifying a custom tangent in the `TrajectoryBuilder()` constructor. - -.setTangent(90) // Sets tangent to 90 - - - -// If you see these hooks on the start and/or end of spline trajectories, you can use `setReversed()` to fix them -// These hooks make your robot move backwards instead of forward or vice versa in splines, creating suboptimal paths. -// This can be fixed by reversing the path using `setReversed(true)`. - -.setReversed(false) // Unreversed trajectory has hooks on the start and end -.splineTo(Vector2d(-48.0, -24.0), -Math.PI / 2) -.setReversed(false) -.splineTo(Vector2d(-48.0, 0.0), Math.PI) - - - -.setReversed(true) // Reversed trajectory has no hooks on the start and end, and is smooth -.splineTo(Vector2d(-48.0, -24.0), -Math.PI / 2) -.setReversed(false) -.splineTo(Vector2d(-48.0, 0.0), Math.PI) - - - -// By default, each trajectory is set to `setReversed(false)`, which does not reverse the paths. -// This means that: -.setReversed(false) -.splineTo(Vector2d(-48.0, -24.0), -Math.PI / 2) -.setReversed(false) -.splineTo(Vector2d(-48.0, 0.0), Math.PI) - -// Is the same as: -.splineTo(Vector2d(-48.0, -24.0), -Math.PI / 2) -.splineTo(Vector2d(-48.0, 0.0), Math.PI) - - - -// Robot moves to the specified coordinates while maintaining its heading. -// Both `strafeTo()` and `strafeToConstantHeading()` are equivalent. -// So, if you start at a 90 degree angle, it will keep that angle the entire path. - -.strafeTo(new Vector2d(48, -48)) -.strafeToConstantHeading(new Vector2d(48, -48)) - - - -// Robot moves to the specified coordinates while linearly interpolating between the start heading and a specified end heading -// In other words, it constantly turns to a certain heading (once more, in radians) while moving to the specified coordinates. - -.strafeToLinearHeading(new Vector2d(36, 36), Math.toRadians(90)) - - - -// Robot moves to the specified coordinates while splinely interpolating between the start heading and a specified end heading -// In other words, it constantly turns to a certain heading (once more, in radians) while moving to the specified coordinates. - -.strafeToSplineHeading(new Vector2d(36, 36), Math.toRadians(90)) - - - -// Robot moves to the specified x coordinate in the direction of the robot heading (straight line). -// Both `lineToX()` and `lineToXConstantHeading()` are equivalent. -// 🚨 Will cause an error if your heading is perpendicular to direction your robot is traveling! 🚨 - -.lineToX(48) -.lineToXConstantHeading(48) - - - -// Robot moves to the specified y coordinate in the direction of the robot heading (straight line). -// Both `lineToY()` and `lineToYConstantHeading()` are equivalent. -// 🚨 Will cause an error if your heading is perpendicular to direction your robot is traveling! 🚨 - -.lineToY(36) -.lineToYConstantHeading(36) - - - -// Robot moves to the specified coordinates in a spline path while following a tangent heading interpolator - -.splineTo(new Vector2d(48, 48), Math.PI / 2) - - - -// Robot moves to the specified coordinates in a spline path while following a tangent heading interpolator - -.setTangent(0) -.splineTo(new Vector2d(48, 48), Math.PI / 2) - - - -// Robot moves to the specified coordinates in a spline path while keeping the heading constant -// The robot maintains the heading it starts at throughout the trajectory. -// To change the shape of the spline, change `endTangent`. - -.setTangent(0) -.splineToConstantHeading(new Vector2d(48, 48), Math.PI / 2) - - - -// Robot moves to the specified coordinates in a spline path while separately linearly interpolating the heading -// To change the shape of the spline, change `endTangent`. - -.setTangent(0) -.splineToLinearHeading(new Pose2d(48, 48, 0), Math.PI / 2) - - - -// Robot moves to the specified coordinates in a spline path while separately spline interpolating the heading -// To change the shape of the spline, change `endTangent`. - -.setTangent(0) -.splineToSplineHeading(new Pose2d(48, 48, 0), Math.PI / 2) - - diff --git a/src/roadrunner_10/BuilderReferenceVideos/setReversed(false).mp4 b/src/roadrunner_10/BuilderReferenceVideos/setReversed(false).mp4 deleted file mode 100644 index ddcd4aa70a764188c946da59824577f28e7bd01e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 510935 zcmZsDV|XM%*XYEy?QHC9Y}@9bR<_ zt52O7002O2=HlUC>1=Nc0DuDioxi>;z#qoUwhnB}0002m%*oUg0QIxW)&%JCMbilh z@%h=dA$HPzxGLF}O1DD1N_KhW&hnj&n4Z|!-pQ1h`3rPnW#VEdHUgTOvN17zHApgi z5irUrib>G35eun{d{LU18hw6}BSCN>5d0gd^XiJeT%_*jWeOpR>pjjj2Z zxtX|`h=F!M8xLnwJ|=foZYFnTW>#WbQ$7n*cVcH(qc4bq*umN3i}mYh;AFzb%)s=; z^mQP%wRAT%G59Bu`HREA320|-%E$bj*x16!-WF)^#mY?V;$&)LW9j?_ak_Jw7`uD{ z#*VgpOkXAdO+4-GO!-)t>6n>`&4A7>1`f{FmJa_Y{wu)I!NA_k%-Ph1kDi6t#lq=} zSP1_BKpD`*|<6Z zJq(QPZ5@CvU)RQ8A#!m7TH1Yy_#$)y{-ZH-0@|87e+A3Pz`^4Swlv{m`GSEaK!<-` z7#SE@0-gUUv2-&1k6&)4mgW{NMqh3A4yJYn=JpO>t^Y+je6d=adVI;|WBwn=z}C|4 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zRY86SI+CwCG%rjJ00)RcUuoInr>5wMR1 z8Lf>efZA#Rs86(RXiTWy0)RQGL9ibI8I1?s!x2E|P6Flt>KCm)8mkS0?E3@qg_kB@qvF?GO%X`8C@R@pm`YsXnbhCX#A)i%?rkI4~Kz7wK)zw?2nuQ(74cb2Iv)r;2#%cO#t%WvPI)H2GIJTxuY@~53EsuGsR?r>;QNH zsNciD_gWc&jM}2WUWy)IkIsFsHEJISm;q>f+5q~DLM&)pis(BkT0``_(f54R<~o4J zjK+fcN9PX#u&>fM*w=%M`bXnH>+rq)sLyf$J&Ri48iFXZ!%I6g$msJn0c#_H%OEcR z&ptfFBH+JGGm;8Tt&N4Fd=RrXJ?*CeWX9u-NKBMA&}( xa0ed 🚨 **WARNING:** 🚨 -> Ensure that you are using `waitSeconds()` and not `wait()`. All Java objects have a `wait()` function which causes the current thread to wait until another thread invokes a `notify()` or `notifyAll()` method. See further details in the [Oracle JavaDoc](https://docs.oracle.com/javase/7/docs/api/java/lang/Object.html#wait()). We don't care for this function but it does show up in intellisense. Make sure you are using the `waitSeconds()` function instead of `wait()`. - -```java -{{#rustdoc_include BuilderReference.java:1:4}} -``` - -

    - -
    - - ---- - -#### `turn(Math.toRadians(double: angle))` - -```java -{{#rustdoc_include BuilderReference.java:8:14}} -``` - -
    - -
    - - - -> **Why Radians?** -> You may have noticed that we are turning by \\( \frac{\pi}{6} \\) degrees instead of degrees. -> This is because Road Runner 1.0's units are inches and radians by default. To use degrees, we can convert degrees to radians by using Java's `Math.toRadians(degrees)` -> -> Example: -> `Math.toRadians(90)` converts 90 degrees to radians. 90 degrees is the same as \\( \frac{\pi}{2} \\) radians. - ---- - -#### `turnTo(Math.toRadians(double: heading))` - -```java -{{#rustdoc_include BuilderReference.java:18:25}} -``` - -
    - -
    - - - ---- - -#### `setTangent(double: r)` - -```java -{{#rustdoc_include BuilderReference.java:29:32}} -``` - ---- - -#### `setReversed(boolean: reversed)` - -```java -{{#rustdoc_include BuilderReference.java:36:43}} -``` - -
    - -
    - - - -```java -{{#rustdoc_include BuilderReference.java:47:50}} -``` - -
    - -
    - - - -```java -{{#rustdoc_include BuilderReference.java:54:63}} -``` - ---- - -#### `.strafeTo(new Vector2d(double: x, double: y))` & `.strafeToConstantHeading(new Vector2d(x: double, y: double))` - -```java -{{#rustdoc_include BuilderReference.java:67:72}} -``` - -
    - -
    - - - ---- - -#### `.strafeToLinearHeading(new Vector2d(x, y), Math.toRadians(heading))` - -```java -{{#rustdoc_include BuilderReference.java:76:79}} -``` - -
    - -
    - - - ---- - -#### `.strafeToSplineHeading(new Vector2d(x, y), Math.toRadians(heading))` - -```java -{{#rustdoc_include BuilderReference.java:83:86}} -``` - -
    - -
    - - - -> **What is the difference between spline interpolation and linear interpolation?** -> - Interpolation is a method of finding new data points (angle heading) in between two given data points (initial heading and final heading). -> - Linear interpolation means that the robot interpolates its heading and turns at a constant, linear rate, from start to the end of the trajectory. -> - Spline interpolation is the opposite, as the robot turns at a non-linear rate. - ---- - -#### `lineToX(x: double)` & `.lineToXConstantHeading(x: double)` - -> 🚨 **WARNING:** 🚨 -> It is **HIGHLY RECOMMENDED** to use [`.strafeTo()`](https://arushyadlapati.github.io/cookbook/roadrunner_10/complete_trajectorybuilder_reference.html) instead of any `lineTo()`'s! 🚨 - -```java -{{#rustdoc_include BuilderReference.java:90:95}} -``` - -
    - -
    - - - ---- - -#### `lineToY(y: double)` & `.lineToYConstantHeading(y: double)` - -> 🚨 **WARNING:** 🚨 -> It is **HIGHLY RECOMMENDED** to use [`.strafeTo()`](https://arushyadlapati.github.io/cookbook/roadrunner_10/complete_trajectorybuilder_reference.html) instead of any `lineTo()`'s! 🚨 - -```java -{{#rustdoc_include BuilderReference.java:99:104}} -``` - -
    - -
    - - - ---- - -#### `splineTo(new Vector2d(x, y), tangent)` | Heading is \\( \frac{\pi}{6} \\) - -```java -{{#rustdoc_include BuilderReference.java:108:110}} -``` - -
    - -
    - - - ---- - -### Heading Primitives - -The begin pose is the origin `(0,0)` with a heading of \\( \frac{\pi}{2} \\). - -#### `Tangent Heading (default)` - -```java -{{#rustdoc_include BuilderReference.java:114:117}} -``` - -
    - -
    - - - ---- - -#### `Constant Heading` - -```java -{{#rustdoc_include BuilderReference.java:121:126}} -``` - -
    - -
    - - - ---- - -#### `Linear Heading` - -```java -{{#rustdoc_include BuilderReference.java:130:134}} -``` - -
    - -
    - - - ---- - -#### `Spline Heading` - -```java -{{#rustdoc_include BuilderReference.java:138:142}} -``` - -
    - -
    - - - ---- - -## Resources - -- [Official Road Runner 1.0 Builder Reference](https://rr.brott.dev/docs/v1-0/builder-ref/) -- [Official Road Runner 1.0 Builder Playground](https://rr.brott.dev/playground/) -- [`waitSeconds()` Video Playground](https://rr.brott.dev/playground/?367582b88299b654) -- [`turn()` Video Playground](https://rr.brott.dev/playground/?5a434271b239e5bc ) -- [`turnTo()` Video Playground](https://rr.brott.dev/playground/?ad40438ae13740f7) -- [`.setReversed(false)` Video Playground](https://rr.brott.dev/playground/?78c18fcfaa629ea1) -- [`.setReversed(true)` Video Playground](https://rr.brott.dev/playground/?f13b09a93d37031c) -- [`strafeTo()` / `strafeToConstantHeading()` Video Playground](https://rr.brott.dev/playground/?f49042fdf5ea3ab0) -- [`.strafeToLinearHeading()` Video Playground](https://rr.brott.dev/playground/?ed5d41566d46b59f) -- [`.strafeToSplineHeading()` Video Playground](https://rr.brott.dev/playground/?2df122402fceaecc) -- [`.lineToX()` Video Playground](https://rr.brott.dev/playground/?24fae2ad24c95f39) -- [`.lineToY()` Video Playground](https://rr.brott.dev/playground/?539e8ead2f501b29) -- [`.splineTo()` Video Playground](https://rr.brott.dev/playground/?0a660e7b5fae2b70d) -- [`.splineTo() (default)` Video Playground](https://rr.brott.dev/playground/?728d3c0e2e969023) -- [`.splineToConstantHeading()` Video Playground](https://rr.brott.dev/playground/?31ac47a09d8222c7) -- [`.splineToLinearHeading()` Video Playground](https://rr.brott.dev/playground/?b152980ce38bbdaa) -- [`.splineToSplineHeading()` Video Playground](https://rr.brott.dev/playground/?9c422405d44fed70) - ---- -*Last Updated: 2024-07-29* \ No newline at end of file diff --git a/src/roadrunner_10/null_list_error_in_rr_10.md b/src/roadrunner_10/null_list_error_in_rr_10.md index 4f66357..b0fd522 100644 --- a/src/roadrunner_10/null_list_error_in_rr_10.md +++ b/src/roadrunner_10/null_list_error_in_rr_10.md @@ -1,20 +1 @@ -# Null list error in Road Runner 1.0 - -### Ingredients - -1. A Road Runner 1.0 setup -2. Completed ForwardPushTest and LateralPushTest - - -## The Recipe - -### The problem - -If you have gotten through Road Runner 1.0 tuning to the ForwardRampLogger tuning step (you may also see this in LateralRampLogger or AngularRampLogger), sometimes you will get an empty list error when you press the "latest" button. - -### Solution -You must first run the OpMode from the Driver Station and then stop it once the robot's speed stops increasing. -Finally, you can open the tuning page on your robot's Wi-Fi network, as the Road Runner docs say. - - -*Last Updated: 2024-05-29* +# Empty list error in Road Runner 1.0 diff --git a/src/static/is_the_bump_on_manual_feedforward_tuner_normal/deceleration_bump.png b/src/static/is_the_bump_on_manual_feedforward_tuner_normal/deceleration_bump.png deleted file mode 100644 index 12d3b4ae34760dbfd52612265f0084bad5e2436a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 659274 zcmd42i9b~D8$Yb<$-Wh7WXTpoLWoJSWgC_tvdk$nwWMp;vmU5P2Xgvc%? 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