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A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources

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Awesome NVIDIA Isaac Gym

Collect some related resources of NVIDIA Isaac Gym

News

Official resource

GTC

Papers

Manipulation

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

  • mvp: Masked Visual Pre-training for Robotics

  • [RSS2022] Factory: Fast contact for robotic assembly: paper, project, code

  • [SIGGRAPH2022] ASE: Large-scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters: paper, project, code

  • [arxiv2021] Data-Driven Operational Space Control for Adaptative and Robust Robot Manipulation: project, paper, code

  • [RSS2021@DO-Sim] DO-Sim: Workshop on Deformable Object Simulation in Robotics: link

  • [ICRA2021] Causal Reasoning in Simulationfor Structure and Transfer Learning of Robot Manipulation Policies: paper, project

  • [RSS2021 DO-Sim workshop] DefGraspSim: Simulation-based grasping of 3D deformable objects: paper, project, video, code

  • [arxiv2021] Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation: paper, project

  • [2021] Deformation-Aware Data-Driven Grasp Synthesis: paper

  • [2021] Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger: project, paper, code

  • [ICRA2021] In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation: paper, project

  • [IROS2021] Reactive Long Horizon Task Execution via Visual Skill and Precondition Models: paper, video

  • [CoRL2021] STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation: paper, project, code

  • [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

Localization

  • [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

  • [CoRL2020] Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation: paper, project

Others

  • [arxiv2021] BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with Isaac Gym: paper, code

  • [2021] Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation: paper, video, project

  • [NeurIPS2021] Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning: project, paper, openreview

  • [RSS2020] Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap: paper, project

  • [ICRA2019] Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience: paper, video, project

  • [CoRL2018] GPU-Accelerated Robotics Simulation for Distributed Reinforcement Learning: paper, project

RL library

These RL libraries can support the training with Isaac Gym.

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