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 GPU parallelized robotics simulator and benchmark

RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

A unified framework for robot learning

IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

Unitree Go2, Unitree G1 support for Nvidia Isaac Lab (Isaac Gym / Isaac Sim)

SenseAct: A computational framework for developing real-world robot learning tasks

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

FurnitureBench: Real-World Furniture Assembly Benchmark (RSS 2023)

Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

[RSS 2024] Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation

Natural Locomotion, Jumping and Recovery of Quadruped Robot A1 with AMP

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation

Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)

Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning

A python library for robot learning - An extension to PyRobot

An independent extension based on IsaacLab. It provides support for Robot Manipulation tasks (Robot Arm and Dextrous Hand).