.
├── Animation
│ ├── 3D Animation Essentials.pdf
│ ├── Acquiring Stylized Motor Skills.pdf
│ ├── Behavior-Based Robotics.pdf
│ ├── Bipedal Robotic Character.pdf
│ ├── Choregraphe.pdf
│ ├── Composite Control of Physically Simulated Characters.pdf
│ ├── Computer Animation.pdf
│ ├── Contact-aware Nonlinear Control of Dynamic Characters.pdf
│ ├── Games105_notes.pdf
│ ├── Generating Whole Body Motions.pdf
│ ├── Imitating Human Dance Motions.pdf
│ ├── Interaction Mesh Based Motion Adaptation.pdf
│ ├── Learning from Observation.pdf
│ ├── Motion Capture File Formats Explained.pdf
│ ├── Motion Interpolation Methods.pdf
│ ├── Motion Retargeting for Humanoid Robots.pdf
│ ├── MVN_white_paper.pdf
│ ├── Optimization-based Motion Retargeting.pdf
│ ├── Principles.pdf
│ ├── Retargeting.pdf
│ ├── Retargetting Motion to New Characters.pdf
│ ├── Robust Robot Motion Retargeting.pdf
│ ├── Spatial_Relationship_Preserving_Character_Motion_Adaptation.pdf
│ ├── Teleoperation of Humanoid Robots.pdf
│ ├── Towards a Natural Motion Generator.pdf
│ ├── Valve's Handbook.pdf
│ └── Whole-Body Geometric Retargeting for Humanoid Robots.pdf
├── Biographies
│ ├── Doom Guy.epub
│ └── Masters of Doom.pdf
├── Bionics
│ └── Detection-and-Learning-of-Floral-Electric-Fields-by-Bumblebees.pdf
├── Contact
│ ├── An Introduction to Physics-based Animation.pdf
│ ├── Articulated Rigid Body.pdf
│ ├── Contact and Constraints.pdf
│ ├── Convex Quasistatic.pdf
│ ├── DifferentiableCollisions.pdf
│ ├── drake
│ │ ├── Deformable.pdf
│ │ ├── MPM.pdf
│ │ ├── Sap.pdf
│ │ ├── Similar_Lagged.pdf
│ │ └── Tamsi.pdf
│ ├── Elandt_cornellgrad.pdf
│ ├── ErinCatto_SoftConstraints_GDC2011.pdf
│ ├── ErinCatto_UnderstandingConstraints_GDC2014.pdf
│ ├── ErwinCoumans_GPU_rigid_body_simulation_GDC2013.pdf
│ ├── Fluid Engine Development.pdf
│ ├── Implicit Time-Stepping Scheme.pdf
│ ├── LCP.pdf
│ ├── Minchen Li dissertation.pdf
│ ├── Model of Contact Normal Force.pdf
│ ├── Pressure Field Contact.pdf
│ ├── SIGGRAPH22_friction_contact_notes.pdf
│ ├── simplecontacts2024.pdf
│ ├── Velocity Level Approximation of Pressure Field Contact.pdf
│ └── 仿真器对比.png
├── CUDA
│ ├── Automatic Sphere Approximation.pdf
│ ├── CUDA_programming.pdf
│ ├── CUDA Handbook.pdf
│ ├── Game Physics Pearls.pdf
│ ├── Learn CUDA Programming.pdf
│ ├── NVIDIA_CUDA_Programming_Guide_1.1_chs.pdf
│ ├── Professional CUDA C Programming.pdf
│ ├── Programming in Parallel with CUDA.pdf
│ └── Warp.pdf
├── CXX
│ ├── [B] Dive Into Design Patterns.pdf
│ ├── Advanced C and C++ Compiling.pdf
│ ├── An Introduction to Modern CMake.pdf
│ ├── API Design for C++.pdf
│ ├── C++-Templates-zh.pdf
│ ├── C++20-The-Complete-Guide-zh.pdf
│ ├── C++23-Standard-Library.pdf
│ ├── C++ Best Practices.pdf
│ ├── C++ Initialization Story.pdf
│ ├── C++ Today.pdf
│ ├── Clang Compiler Frontend.pdf
│ ├── improving_compilation_times.pdf
│ ├── Learn LLVM 17.pdf
│ ├── Many Faces of PublishSubscribe.pdf
│ ├── Modern-CMake-for-C++-2ed-zh-20240908.pdf
│ ├── modern-cmake.pdf
│ ├── Modern C++ Design-zh.pdf
│ ├── Modern C++ Design.pdf
│ ├── Professional-CMake-zh.pdf
│ ├── Software-Architecture-with-C++-zh.pdf
│ ├── STL源码剖析.pdf
│ ├── Template-Metaprogramming-with-C++-zh.pdf
│ ├── The-Art-of-Writing-Efficient-Programs-zh.pdf
│ └── 自制编译器.pdf
├── Dynamics
│ ├── 1 Inverse geometry.pdf
│ ├── 2 trajectory optimization.pdf
│ ├── 19-sii-pinocchio.pdf
│ ├── Analytically Differentiable Articulated Rigid Body Dynamics.pdf
│ ├── A Unified View of the Equations of Motion.pdf
│ ├── Foundations of physically based modeling and animation.pdf
│ ├── Geometric Fundamentals of Robotics.pdf
│ ├── holonomy-and-nonholonomy-in-the-dynamics-of-articulated-motion.pdf
│ ├── Intrinsic sense of touch.pdf
│ ├── jnrh_collision_detection.pdf
│ ├── Kalman Filtering, Smoothing & FD:ID.pdf
│ ├── Kinematic Loops.pdf
│ ├── Lagrangian Mechanics_Gauss_QP.pdf
│ ├── MODELLING AND CONTROL OF NONHOLONOMIC MECHANICAL SYSTEMS.pdf
│ ├── Modern Robotics.pdf
│ ├── nonholonomy in the dynamics.pdf
│ ├── Pinocchio's frame for spatial velocities [v=MLFtHLTprE4].mp4
│ ├── pinocchio_cheat_sheet.pdf
│ ├── presentation - Constraint Dynamics.pdf
│ ├── presentation - Pinocchio.pdf
│ ├── pressure field contact.pdf
│ ├── rbda.pdf
│ ├── RD_HS2017script.pdf
│ ├── Robot and Multibody Dynamics.pdf
│ ├── Rotational Dynamics.pdf
│ ├── Simbody.pdf
│ ├── Structure and Interpretation of Classical Mechanics.pdf
│ ├── TalkJNRH_LegDesign.pdf
│ ├── todorov2014.pdf
│ └── 机器人动力学课程笔记.pdf
├── EE
│ ├── ndss2023_f217_paper.pdf
│ └── Open Circuits.pdf
├── Game
│ └── Fabien Sanglard - Game Engine Black Book_ Wolfenstein 3D.pdf
├── gen_readme.sh
├── Graphics
│ ├── A Biography of the Pixel.pdf
│ ├── Director.pdf
│ ├── LearnThreejs.pdf
│ └── Sketchpad.pdf
├── Grasp
│ └── fastgraspd.pdf
├── IK
│ └── iksurvey.pdf
├── LaTeX
│ └── lnotes2.pdf
├── Learning
│ ├── 5天带你上手Isacc gym&RL学习.pdf
│ ├── 16-745 Lecture 24.pdf
│ ├── Acquiring Motor Skills.pdf
│ ├── Actuator-Constrained RL.pdf
│ ├── berkeley_humanoid.pdf
│ ├── Champion-level drone racing.pdf
│ ├── Continuous Control with Coarse-to-fine RL.pdf
│ ├── CusADi.pdf
│ ├── DeepMimic_2018.pdf
│ ├── Deep Tracking Control.pdf
│ ├── Domain Randomization.pdf
│ ├── DreamWaQ.pdf
│ ├── DTC.pdf
│ ├── how to train your robot.pdf
│ ├── Humanoid-Gym.pdf
│ ├── Humanoid Robot to Imitate Human Dances.pdf
│ ├── HumanPlus.pdf
│ ├── Isaac Gym.pdf
│ ├── lbdl.pdf
│ ├── Learning_Agile_Soccer_Skills_for_a_Bipedal_Robot.pdf
│ ├── Learning agile and dynamic motor skills for legged robots.pdf
│ ├── Learning Agile Soccer Skills.pdf
│ ├── Learning Bipedal Walking on CPU.pdf
│ ├── Learning In-Hand Translation Using Tactile.pdf
│ ├── Learning Locomotion Skills Using DeepRL.pdf
│ ├── Learning to Use Chopsticks in Diverse Gripping Styles.pdf
│ ├── Learning to Walk.pdf
│ ├── Model-Based Footstep Planning.pdf
│ ├── Motor Learning.pdf
│ ├── MPC_IFAC Lecture.pdf
│ ├── NIPS-2010-constructing-skill-trees-for-reinforcement-learning-agents-from-demonstration-trajectories-Paper.pdf
│ ├── OC_vs_RL.pdf
│ ├── On_Bringing_Robots_Home.pdf
│ ├── OPT-Mimic.pdf
│ ├── Orbit.pdf
│ ├── Past, Present, and Future of Intelligence.pdf
│ ├── Periodic Reward Composition.pdf
│ ├── Plan-Guided Reinforcement Learning.pdf
│ ├── PPO.pdf
│ ├── Reinforcement Learning and Optimal Control.pdf
│ ├── RL Bipedal Jumping Control.pdf
│ ├── RLbook2020.pdf
│ ├── rlchina-3h-rl-tutorial.pdf
│ ├── Sim-to-Real.pdf
│ ├── Soccer Kicking.pdf
│ ├── sot-torque-control.pdf
│ ├── UnderstandingDeepLearning_24_11_23_C.pdf
│ ├── Visualizing Movement Control Optimization.pdf
│ ├── VMP.pdf
│ ├── What Is ChatGPT Doing.pdf
│ └── 深度强化学习.pdf
├── Locomotion
│ ├── Adaptive-model.pdf
│ ├── An Architecture for Online Affordance-based Perception and Whole-body Planning.pdf
│ ├── ARTEMIS.pdf
│ ├── Artemis_Hardware_Zhu.pdf
│ ├── Artemis_Software_Ahn.pdf
│ ├── atlas-control.pdf
│ ├── Atlas_Step_Up_TO.pdf
│ ├── balance control and locomotion planning.pdf
│ ├── Bipedal Humanoid Hardware Design: A Technology Review.pdf
│ ├── Bipedal Running.pdf
│ ├── Capture Steps: Robust Walking for Humanoid Robots.pdf
│ ├── CD_FK.pdf
│ ├── Collaborative Loco-Manipulation.pdf
│ ├── Differentiable Optimal Control.pdf
│ ├── Dynamic Loco-manipulation on HECTOR.pdf
│ ├── Free Gait.pdf
│ ├── HardwareRPC.pdf
│ ├── HECTOR.pdf
│ ├── Interactive_Design_of_Stylized_Walking_Gaits_for_Robotic_Characters-4.pdf
│ ├── Introduction to Humanoid Robotics.pdf
│ ├── Julia for robotics.pdf
│ ├── KIM-DISSERTATION-2017.pdf
│ ├── Kuindersma14.pdf
│ ├── Mechatronic design of NAO.pdf
│ ├── MIT Biped Line-Feet.pdf
│ ├── MJPC.pdf
│ ├── Momentum-Based Control Framework.pdf
│ ├── NimbRo-OP2X.pdf
│ ├── notes-twan.pdf
│ ├── Optimal-Design-of-Robotic-Character-Kinematics-Paper.pdf
│ ├── Optimization-Based Control.pdf
│ ├── paper_flexLoco.pdf
│ ├── Passivity-based whole-body balancing.pdf
│ ├── Perceptive_Locomotion_through_NMPC.pdf
│ ├── Push Recovery Control.pdf
│ ├── Series-Parallel Hybrid.pdf
│ ├── Simulating Balance Recovery.pdf
│ ├── Software and Control Design.pdf
│ ├── Stability of Surface Contacts.pdf
│ ├── Teleoperation of Humanoid Robots.pdf
│ ├── Tello Leg.pdf
│ ├── US11465281.pdf
│ ├── vduindamPhDthesis.pdf
│ ├── WBC.pdf
│ ├── WBIC.pdf
│ ├── WBLC.pdf
│ ├── Wensing_IJHR_2016.pdf
│ ├── Whole-Body Control of Series-Parallel Hybrid Robots.pdf
│ └── Whole-body MPC.pdf
├── Manipulation
│ ├── [2020] [MIT Master] Dynamic Primitives Facilitate Manipulating a Whip.pdf
│ ├── A Mathematical Introduction to Robotic Manipulation.pdf
│ ├── BD_MPCv3.pdf
│ ├── Bubble_Gripper_Build_Instructions_v1.0.pdf
│ ├── Contact-Trajectory Optimization.pdf
│ ├── diffusion_policy_2023.pdf
│ ├── High-speed Multifingered Hand System.pdf
│ ├── Local Smoothing.pdf
│ └── 机器人操作的数学导论.pdf
├── Math
│ ├── [B] 矩阵力量.pdf
│ ├── Companion to Mathematics.pdf
│ ├── Interactive Linear Algebra.pdf
│ ├── Linear Algebra Done Right 4th.pdf
│ ├── Mathematics for Robotics.pdf
│ ├── Measure, Integration & Real Analysis.pdf
│ └── The-Art-of-Linear-Algebra-zh-CN.pdf
├── MotionPlanning
│ ├── Dynamic Robot Manipulation_v1.pdf
│ ├── Dynamic Robot Manipulation_v2.pdf
│ ├── Motion Planning the Essentials.pdf
│ ├── RAPTOR.pdf
│ ├── Running Jumps Over Obstacles.pdf
│ ├── Skaterbots.pdf
│ ├── Task_sequencer_integrated_into_a_teleoperation_interface_for_biped_humanoid_robots.pdf
│ ├── Toward_Industrialization_of_Humanoid_Robots_Autonomous_Plasterboard_Installation_to_Improve_Safety_and_Efficiency.pdf
│ └── 几何方法.pdf
├── Motor
│ ├── High-Output Actuation System.pdf
│ ├── High Torque and High Speed Leg Module.pdf
│ └── thermal control.pdf
├── Numerics
│ ├── [B] Evaluating Derivatives.pdf
│ ├── [B] Matrix Computations.pdf
│ ├── AppliedMathematics.pdf
│ ├── Approximation Theory and Approximation Practice (2013).pdf
│ ├── Chebfun.pdf
│ ├── Chebfun_NLP.pdf
│ ├── Exploring ODEs.pdf
│ ├── Matrix Analysis and Applied Linear Algebra.pdf
│ ├── Numerical Algorithms.pdf
│ ├── Numerical Linear Algebra.pdf
│ ├── Numerical methods that work.djvu
│ ├── Numerical recipes the art of scientific computing.pdf
│ └── Templates for the Solution of Linear Systems.pdf
├── OptimalControl
│ ├── [B] Geometric Control of Mechanical Systems.pdf
│ ├── [B] Numerical Optimal Control.pdf
│ ├── [CasADi] advanced_concepts.pdf
│ ├── [CasADi] A General-Purpose Software Framework for Dynamic Optimization.pdf
│ ├── [CasADi] Framework.pdf
│ ├── A_Survey_of_Numerical_Methods_for_Optimal_Control.pdf
│ ├── A Gauss Pseudospectral Transcription for Optimal Control.pdf
│ ├── Applied Nonlinear Control.pdf
│ ├── Contact-Implicit Trajectory Optimization.pdf
│ ├── cuRobo.pdf
│ ├── cvoc.pdf
│ ├── Efficient Trajectory Optimization for Robot Motion Planning.pdf
│ ├── Geometric Algebra for Optimal Control.pdf
│ ├── geometric control of mechanical systems.pdf
│ ├── GPOPS-Ⅱ.pdf
│ ├── Inverse Dynamics Trajectory Optimization.pdf
│ ├── Joris Gillis.pdf
│ ├── JuMP.pdf
│ ├── Kelly2016.pdf
│ ├── Linear System Theory and Design.pdf
│ ├── MathOptInterface.pdf
│ ├── mbd_paper.pdf
│ ├── mbd_slides.pdf
│ ├── MPC-book-2nd.pdf
│ ├── MPOPT_presentation.pdf
│ ├── MultipleShooting.pdf
│ ├── nlp_slides.pdf
│ ├── OpTaS.pdf
│ ├── Optimal control theory.pdf
│ ├── pseudospectral.pdf
│ ├── PSOPT.pdf
│ ├── Soft Landing Optimal Control.pdf
│ ├── Stagewise implementation of SQP.pdf
│ ├── trajectorySurveyAAS.pdf
│ ├── Ungar.pdf
│ └── 变分学讲义.pdf
├── Optimization
│ ├── 17-toussaint-Newton.pdf
│ ├── An Introduction to Optimization on Smooth Manifolds.pdf
│ ├── A survey of HPC for NLP.pdf
│ ├── convex_optimization.pdf
│ ├── cuPDLP.jl.pdf
│ ├── Differentiable QP.pdf
│ ├── End-to-End Learning to Warm-Start.pdf
│ ├── First-Order Methods in Optimization.pdf
│ ├── Getting Started With IPOPT.pdf
│ ├── ipopt-thesis.pdf
│ ├── IPOPT.pdf
│ ├── Knitro.pdf
│ ├── Lecture Notes on Numerical Optimization.pdf
│ ├── LecturesOnConvexOptimization.pdf
│ ├── Lectures on Modern Convex Optimization.pdf
│ ├── Linear Solver Parallelism.pdf
│ ├── MA57.pdf
│ ├── Matrix Computations.pdf
│ ├── Mean Robust Optimization.pdf
│ ├── MUMPS-Talks.pdf
│ ├── MUMPS.pdf
│ ├── NLP book.pdf
│ ├── NumericalOptimization.pdf
│ ├── On the effects of scaling on the performance of Ipopt.pdf
│ ├── OSQP.pdf
│ ├── Overview of Optimization Software.pdf
│ ├── PDFO.pdf
│ ├── PIQP.pdf
│ ├── Practical Optimization.pdf
│ ├── Recent Advances in the OSQP.pdf
│ ├── SNOPT.pdf
│ ├── uno.pdf
│ ├── 无导数优化方法的研究.pdf
│ ├── 最优化-2.pdf
│ └── 瞎子爬山与最优化方法.pdf
├── OS
│ ├── abi386-4.pdf
│ ├── atc23-jiang-yanyan.pdf
│ ├── Crafting Interpreters.pdf
│ ├── High-Quality Software Engineering.pdf
│ ├── How To Write Shared Libraries.pdf
│ ├── Linker and Libraries Guide.pdf
│ ├── linkers_and_loaders.pdf
│ ├── Linux-UNIX系统编程手册（上册）.pdf
│ ├── Linux-UNIX系统编程手册（下册）.pdf
│ ├── Program-Library-HOWTO.pdf
│ └── ROSCon 2017 Determinism in ROS.pdf
├── Physics
│ ├── Bridging two insect flight modes.pdf
│ ├── Contact Models in Robotics.pdf
│ ├── Effective Computation in Physics.pdf
│ ├── Fly by Night Physics.pdf
│ ├── IPC.pdf
│ └── UniversityPhysics.pdf
├── Python
│ ├── composing_programs.pdf
│ ├── High Performance Python.pdf
│ ├── IPython Interactive Computing and Visualization Cookbook.pdf
│ ├── managing-python-packages.pdf
│ ├── mementopython3-english.pdf
│ ├── mementopython3-zh_cn.pdf
│ ├── python3-note.pdf
│ └── PythonMastery.pdf
├── README.md
├── StateEstimation
│ ├── foot_imu_iros2023.pdf
│ ├── Localization Visual Odometry NASA.pdf
│ └── SLAM中的几何与学习方法.pdf
└── Umwelt
├── A Foray Into the Worlds of Animals and Humans.pdf
├── An Immense World.epub
├── Behavior-Based Robotics.pdf
├── Does a robot have an Umwelt.pdf
└── What Is It Like to Be a Bat.pdf