Sim-to-real RL training and deployment tools for the Unitree Go1 robot.
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Updated
Jun 16, 2024 - Python
Sim-to-real RL training and deployment tools for the Unitree Go1 robot.
MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
[RSS 2024]: Expressive Whole-Body Control for Humanoid Robots
[CVPR 2026 Oral] Learning to Drive via Real-World Simulation at Scale
A Gazebo simulator for the Franka Emika Panda robot with ROS interface, supporting sim-to-real code transfer (Python). Exposes customisable controllers and state feedback from robot in simulation.
AwesomeSim2Real - An update-to-date Sim-to-Real repo of "Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models"
Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.
[ICRA 2026] Re3Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation
A high-performance drone deep reinforcement learning platform built upon IsaacGym.
A curated list of awesome papers and resources on humanoid manipulation, dexterous manipulation, bimanual dexterous manipulation, in-hand manipulation, and humanlike manipulation.
Isaac Gym reinforcement learning environments for TRON1 legged robots — point-foot and wheel-legged locomotion training
A lean, ROS-free sim-to-real framework for training and deploying Vision-Language-Action (VLA) models and RL agents. Native MuJoCo Gymnasium wrappers with synchronous execution for Franka, UR5e, xArm, and SO101.
UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
[T-ASE 2026] "HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments"
[CVPR'22] CrossLoc localization: a cross-modal visual representation learning method for absolute localization
An IsaacLab DirectEnv for basic quadrupedal locomotion tasks, with support for multiple quadruped robots, sim-to-sim, and sim-to-real pipelines
Framework for measuring sim-to-real gaps in robot joint motions. Supports different humanoids with physics simulation, real hardware data collection, and statistical analysis.
Squint: Fast Visual Reinforcement Learning for Sim-to-Real Robotics [PyTorch, SO-101 Robot Arm, ManiSkill3, Sim-to-Real]
🗺🤖🚘🕹📡 An effective, easy-to-implement, and low-cost modular framework for completing complex navigation tasks.
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