Perception toolkit for sim2real training and validation in Unity
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Updated
Nov 8, 2024 - C#
Perception toolkit for sim2real training and validation in Unity
NVIDIA Deep learning Dataset Synthesizer (NDDS)
Deep Reinforcement Learning for Robotic Grasping from Octrees
SynthDet - An end-to-end object detection pipeline using synthetic data
Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai
Grasping in GAZEBO robotics simulator.
Gazebo plugins for applying domain randomization
reinforcement learning from randomized simulations
This project implements a simulated grasp-and-lift process in V-REP using the Barrett Hand, with an interface through a python remote API.
Domain randomization for gazebo simulator
Environment Generator for Air Learning Project. This version is build on top of UE4 game engine
Novel Reinforcement Learning method for tackling goal-oriented robotics tasks with obstacles.
This is the official implementation of our work entitled "Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning" accepted in IEEE Transactions on Artificial Intelligence
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
Domain Randomization Shape Detection
The repository is intended as a support tool for the report of the project "Sim to Real transfer of Reinforcement Learning Policies in Robotics" and it contains examples of some well-known algorithms and methods in the fields of Reinforcement Learning and Sim-to-Real transfer. The implementation is not thought to be efficient, thus we suggest yo…
[WACV 2024] AnyStar: Domain randomized universal star-convex 3D instance segmentation
Online vs. Offline Adaptive Domain Randomization Benchmark
Enabling Faster Training of Robust Reinforcement Learning Policies for Soft Robots
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots
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