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A curated collection of essential resources, tutorials, and projects for NVIDIA Isaac Sim, the powerful platform for designing, simulating, testing, and training AI-driven robots and autonomous machines with GPU-accelerated multi-physics simulations.

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Awesome

Awesome Isaac Sim

A curated list of Nvidia Isaac Sim and Isaac Lab.

Projects

  • IsaacLab - Unified framework for robot learning built on NVIDIA Isaac Sim. [github IsaacLab]

  • GRADE - GRADE: Generating Animated Dynamic Environments for Robotics Research. [github GRADE]

  • OmniDrones - OmniDrones is an open-source platform designed for reinforcement learning research on multi-rotor drone systems. Built on Nvidia Isaac Sim, OmniDrones features highly efficient and flexible simulation that can be adopted for various research purposes. We also provide a suite of benchmark tasks and algorithm baselines to provide preliminary results for subsequent works. [github OmniDrones]

  • SeqDex - "Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation" code repository. [github SeqDex]

  • TeleVision - Open-TeleVision: Teleoperation with Immersive Active Visual Feedback. [github TeleVision]

  • avp_teleoperate - This repository implements teleoperation of the humanoid robot Unitree H1_2 using Apple Vision Pro. [github avp_teleoperate]

  • go2_omniverse - Unitree Go2, Unitree G1 support for Nvidia Isaac Lab (Isaac Gym / Isaac Sim). [github go2_omniverse]

  • NVIDIA-ISAAC-ROS - High-performance computing for robotics built on ROS 2. [github]

  • PegasusSimulator - A framework built on top of NVIDIA Isaac Sim for simulating drones with PX4 support and much more. [github PegasusSimulator]

  • isaac-ros2-control-sample - This repository provides various utilities (operation with ros2_control, automatic sensor generation and sensor data publishing) for easy use of Isaac Sim. [github isaac-ros2-control-sample]

  • isaacsim_ros2_drone - This repository provides various utilities (operation with ros2_control, automatic sensor generation and sensor data publishing) for easy use of Isaac Sim for drone development. [github isaacsim_ros2_drone]]

  • isaac_ros_nitros - NVIDIA Isaac Transport for ROS package for hardware-acceleration friendly movement of messages. [github isaac_ros_nitros]

  • rl_sar - Simulation verification and physical deployment of robot reinforcement learning algorithms, suitable for quadruped robots, wheeled robots, and humanoid robots. "sar" stands for "simulation and real". [github go2_omniverse]

  • IsaacLab-Quadruped-Tasks - Quadruped Tasks extension based on Isaac Lab. [github IsaacLab-Quadruped-Tasks]

  • TactSim-IsaacLab - A vision-based tactile simulator for gelsight tactile sensors based on IsaacLab. [github TactSim-IsaacLab]

  • IsaacLab_snake - IsaacLab snake. [github IsaacLab_snake]

Extensions & Tools

  • skrl - Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab. [github skrl]

  • IsaacLabExtensionTemplate - External extenstion template based on Orbit. [github IsaacLabExtensionTemplate]

  • IsaacAutomator - Isaac Sim/Lab in AWS, Azure, Google Cloud, Alibaba Cloud. [github IsaacAutomator]

  • isaacLab.manipulation - An independent extension based on IsaacLab. It provides support for Robot Manipulation tasks (Robot Arm and Dextrous Hand). [github isaacLab.manipulation]

  • IsaacSim Container Installation - The container installation of Isaac Sim is recommended for deployment on remote headless servers or the Cloud using a Docker container running Linux. [github IsaacSim-dockerfiles]

Blogs & Tutorials & Videos

Papers & Datasets

Others

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A curated collection of essential resources, tutorials, and projects for NVIDIA Isaac Sim, the powerful platform for designing, simulating, testing, and training AI-driven robots and autonomous machines with GPU-accelerated multi-physics simulations.

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