Unified framework for robot learning built on NVIDIA Isaac Sim
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Updated
Jul 16, 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
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)
Unitree Go2, Unitree G1 support for Nvidia Isaac Lab (Isaac Gym / Isaac Sim)
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
FurnitureBench: Real-World Furniture Assembly Benchmark (RSS 2023)
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
[RSS 2024] Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation
Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)
A python library for robot learning - An extension to PyRobot
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