A flexible, high-performance 3D simulator for Embodied AI research.

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

Gibson Environments: Real-World Perception for Embodied Agents

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Deep Reinforcement Learning for Robotic Grasping from Octrees

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Deploy walk-these-ways project on Unitree Go2

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.

Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.

BenchBot is a tool for seamlessly testing & evaluating semantic scene understanding tools in both realistic 3D simulation & on real robots

A Framework for Zero-Shot Sim2Real Drone Racing

UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim

Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]

DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation, CoRL 2022

reinforcement learning from randomized simulations

ROS2-Gazebo simulation package leveraging Mid360 and FASTLIO for navigation. Contact me (QQ): 757003373

Dofbot Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim

Gym reinforcement learning environment for OpenCat robots.