Unified framework for robot learning built on NVIDIA Isaac Sim
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Updated
Dec 12, 2024 - 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.
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
A unified framework for robot learning
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
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
An independent extension based on IsaacLab. It provides support for Robot Manipulation tasks (Robot Arm and Dextrous Hand).
SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning
Official codebase for Manipulation Primitive-augmented reinforcement Learning (MAPLE)
A python library for robot learning - An extension to PyRobot
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