Unified framework for robot learning built on NVIDIA Isaac Sim
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Updated
Feb 5, 2025 - Python
Unified framework for robot learning built on NVIDIA Isaac Sim
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
SAPIEN Manipulation Skill Framework, a open source GPU parallelized robotics simulator and benchmark, led by Hillbot, Inc.
A unified framework for robot learning
Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)
A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
Dobb·E: An open-source, general framework for learning household robotic manipulation
Benchmarking Knowledge Transfer in Lifelong Robot Learning
SenseAct: A computational framework for developing real-world robot learning tasks
Unitree Go2, Unitree G1 support for Nvidia Isaac Lab (Isaac Gym / Isaac Sim)
Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020
Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
A python library for robot learning - An extension to PyRobot
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Safe robot learning
Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning
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