A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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Updated
Jun 3, 2024 - Python
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Code for the Continual Domain Randomization paper
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation, CoRL 2022
ROS2-Gazebo simulation package leveraging Mid360 and FASTLIO for navigation. Contact me (QQ): 757003373
reinforcement learning from randomized simulations
Sim2Real transfer of trained deep neural networks for OpenCat robots.
Code to run and train a model able to autonomously drive a RC car. Using Reinforcement Learning the model is trainable on simulator. The code to drive the real car is also available
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph -- Sim2real code on Turtlebot2i
Gibson Environments: Real-World Perception for Embodied Agents
PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (arXiv, 2024)
Gym reinforcement learning environment for OpenCat robots.
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding
Hiwin Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
Dofbot Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
Kuka Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
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