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awesome-isaac-gym

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一份精心编制的列表,包含了伟大的 NVIDIA Issac Gym 框架、论文、软件和资源

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工具介绍

一份精心编制的列表,包含了伟大的 NVIDIA Issac Gym 框架、论文、软件和资源

Awesome NVIDIA Isaac Gym

A curated collection of resources related to NVIDIA Isaac Gym, a high-performance GPU-based physics simulation environment for robot learning.

Quick Links

  • Official Website

  • Documentation

  • Community Forum

  • Latest Release Info


Contents

  • Latest Releases

  • Getting Started

  • Official Resources

  • Learning Materials

    • Tutorials

    • Workshops

    • Video Guides

  • Research Papers

    • Core Papers

    • Robot Manipulation

    • Locomotion & Control

    • Simulation & Learning

  • Tools & Libraries

    • RL Frameworks

    • Community Projects

  • Applications & Examples

  • Community Resources


Latest Releases

  • March 2024: HumanoidVerse - A Multi-simulator Framework for Humanoid Robot Learning (GitHub)

  • February 2024: Isaac Lab - A unified and modular framework for robot learning (Website)

  • February 2024: PhysX 5 SDK release (GitHub)

  • February 2022: Isaac Gym Preview 4 (1.3.0)

  • October 2021: Isaac Gym Preview 3

  • June 2021: NVIDIA Isaac Sim on Omniverse Open Beta

  • March 23, 2022: GTC 2022 Session — Isaac Gym: The Next Generation — High-performance Reinforcement Learning in Omniverse.

  • Isaac Gym Overview: Isaac Gym Session.

  • GTC Spring 2021: Isaac Gym: End-to-End GPU-Accelerated Reinforcement Learning.


Getting Started

  1. Installation & Setup

    • Official Isaac Gym Download

    • Quick Start Guide

    • Environment Setup

  2. Basic Concepts

    • Introduction to Isaac Gym

    • transic: Official Implementation of "TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction" CoRL 2024.

    • Robot Synesthesia: Official Implementation of "Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing" ICRA 2024.

    • RLAfford: Official Implementation of "RLAfford: End-to-end Affordance Learning with Reinforcement Learning" ICRA 2023.

    • Core Components Overview

    • Basic Tutorials

Official Resources

Core Documentation

  • Isaac SDK Documentation
  • OmniIsaacGymEnvs Repository
  • Official Blog Posts

Learning Resources

  • Video Tutorials
  • Developer Blog
  • NVIDIA Omniverse Channel

Learning Materials

Tutorials

Comprehensive tutorial series from RSS 2021 Workshop:

  1. Introduction & Getting Started
  2. Environments, Training & Tips
  3. Academic Labs Series:
    • University of Toronto
    • IMLab
    • Stanford University
    • Soft-Body Simulation
    • ETH Zurich
  4. New Frontiers in GPU Accelerated RL
  5. lycheeai-hub

Video Guides

  • Robot Import Guide

  • Simulator Basics

  • Advanced Features

  • Community Demonstrations

  • From Point Clouds to Material Graphs: Explore the Latest in Omniverse Create 2021.3

  • Robot Autonomy with the Digital Twin in Isaac Sim

  • Can We Simulate a Real Robot? — A journey through finding a high-quality physics simulator for a robot quadruped.

  • Teaching Robots to Walk with Reinforcement Learning — Robot simulation adventure, covering reinforcement learning with the Bittle robot.

  • Robot Dog Learns to Walk — Bittle Reinforcement Learning Part 3 — Further progress in training robot quadrupeds to walk.

  • Isaac Sim GTC 2021 — Sim-to-Real: Session on sim-to-real transfer using Isaac Sim.

  • Isaac Sim Video Tutorials: Official video tutorials.

  • Training Your JetBot in NVIDIA Isaac Sim: Guide on training JetBot using Isaac Sim.

  • Training Your NVIDIA JetBot to Avoid Collisions Using NVIDIA Isaac Sim: Blog post on collision avoidance training.

  • Introducing NVIDIA Isaac Gym: End-to-End Reinforcement Learning for Robotics: Introduction to Isaac Gym.

  • Accelerating Robotics Simulation with NVIDIA Omniverse Isaac Sim: Blog post on using Omniverse with Isaac Sim.

  • Developing Robotics Applications in Python with NVIDIA Isaac SDK: Guide on using Isaac SDK with Python.

  • Building an Intelligent Robot Dog with the NVIDIA Isaac SDK: Tutorial on building a robot dog.

  • NVIDIA Omniverse YouTube Channel: Official channel with various tutorials and demos.

  • [ICRA2021] Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections: paper

  • [2021] DeformerNet: A Deep Learning Approach to 3D Deformable Object Manipulation: paper

  • [RSS2021_VLRR] A Simple Method for Complex In-Hand Manipulation: paper, project

Locomotion

  • [RSS2024] Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion: paper, code

  • [RSS2022] Rapid Locomotion via Reinforcement Learning: paper, openreview, code

  • [CoRL2021] Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning: paper, openreview, code, project

  • [ICRA2021] Dynamics Randomization Revisited:A Case Study for Quadrupedal Locomotion: project, paper, video

  • [2021] GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model: project, paper

  • [CoRL2020] Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion: paper, video, project, blog

  • [RAL2021] Learning a State Representation and Navigation in Cluttered and Dynamic Environments: paper

  • HumanoidVerse: A Multi-simulator Framework for Humanoid Robot Learning (2024)

    • Features multi-simulator support (Isaac Gym, Flex, MuJoCo)
    • Includes diverse humanoid models and environments
    • Provides comprehensive benchmarking tools
    • Enables efficient parallel training across simulators
  • HIMLoco: Hierarchical Imitation Learning for Robust Humanoid Locomotion (2024)

    • Paper
    • Features hierarchical imitation learning framework
    • Enables robust humanoid locomotion in challenging environments
    • Demonstrates successful real-world deployment
  • ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills (2025)

    • Paper
    • Features two-stage framework for sim-to-real transfer
    • Enables highly agile humanoid motions like kicks and jumps
    • Successfully deployed on real Unitree G1 humanoid robot
    • Demonstrates significant improvement over SysID and DR baselines

Blogs

  • A Brief Introduction to NVIDIA Omniverse

Research Papers

Core Papers

  • Isaac Gym: High Performance GPU-Based Physics Simulation (NeurIPS 2021)
    • Project Page
    • OpenReview Discussion

Robot Manipulation

  • RLAfford: Official implementation of "RLAfford: End-to-end Affordance Learning with Reinforcement Learning", ICRA 2023.
  • Masked Visual Pre-training for Robotics (MVP): Repository for the MVP project.
  • Factory: Fast Contact for Robotic Assembly: RSS 2022.
    • Paper
    • Code
  • ASE: Adversarial Skill Embeddings: SIGGRAPH 2022.
    • Paper
    • Code
  • Data-Driven Operational Space Control (OSCAR): Adaptive and robust robot manipulation.
    • Paper
    • Code
  • **DefGraspSim:*

Issues· 4 开放

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> 标签

Pythonisaac-gymopenai-gymreinforcement-learningrobot-learning

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> 工具信息

发布日期2026年8月1日
最后更新2026年9月17日
分类AI 编程
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