Unified framework for robot learning built on NVIDIA Isaac Sim
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Updated
Jul 2, 2024 - Python
Unified framework for robot learning built on NVIDIA Isaac Sim
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources
Dobb·E: An open-source, general framework for learning household robotic manipulation
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
A unified framework for robot learning
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
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
Benchmarking Knowledge Transfer in Lifelong Robot Learning
Unitree Go2, Unitree G1 support for Nvidia Isaac Lab (Isaac Gym / Isaac Sim)
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)
This repo contains a curative list of robot learning (mainly for manipulation) resources.
Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
FurnitureBench: Real-World Furniture Assembly Benchmark (RSS 2023)
[RSS 2024] Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation
A python library for robot learning - An extension to PyRobot
Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)
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