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sim2real
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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
Deploy walk-these-ways project on Unitree Go2
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
VR-Caps: A Virtual Environment for Active Capsule Endoscopy
Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.
ROS2-Gazebo simulation package leveraging Mid360 and FASTLIO for navigation.
Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.
a comprehensive and critical synthesis of the emerging role of GenAI across the full autonomous driving stack
Codebase for Kinova Gen3 training in Isaac Lab, sim2real transfer and ROS deployment.
BenchBot is a tool for seamlessly testing & evaluating semantic scene understanding tools in both realistic 3D simulation & on real robots
UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
This is a repository for RobustDexGrasp, which achieves robust dexterous grasping of 500+ unseen objects with random poses from single-view perception.
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation, CoRL 2022