Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments
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Cited by 111 in Deep reinforcement learning methods, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
We present Orbit, a unified and modular framework for robot learning powered by NVIDIA Isaac Sim. It offers a modular design to easily and efficiently create robotic environments with photo-realistic scenes and high-fidelity rigid and deformable body simulation. With Orbit, we provide a suite of benchmark tasks of varying difficulty -- from single-stage cabinet opening and cloth folding to multi-stage tasks such as room reorganization. To support working with diverse observations and action spaces, we include fixed-arm and mobile manipulators with different physically-based sensors and motion generators. Orbit allows training reinforcement learning policies and collecting large demonstration datasets from hand-crafted or expert solutions in a matter of minutes by leveraging GPU-based parallelization. In summary, we offer an open-sourced framework that readily comes with 16 robotic platforms, 4 sensor modalities, 10 motion generators, more than 20 benchmark tasks, and wrappers to 4 learning libraries. With this framework, we aim to support various research areas, including representation learning, reinforcement learning, imitation learning, and task and motion planning. We hope it helps establish interdisciplinary collaborations in these communities, and its modularity makes it easily extensible for more tasks and applications in the future.
Key facts. Cited by 295 papers in the map (data through 14 Oct 2026). Builds on 31 of its 61 references that are in the map. First posted on arXiv 10 Jan 2023.
Builds on
31 of 61 references.
References · 31
- 2017Proximal Policy Optimization Algorithmscited by 15,215
- 2019Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learningcited by 1,204
- 2019Habitat: A Platform for Embodied AI Researchcited by 1,191
- 2021Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learningcited by 998
- 2019The Replica Dataset: A Digital Replica of Indoor Spacescited by 904
- 2019Solving Rubik's Cube with a Robot Handcited by 734
- 2021What Matters in Learning from Offline Human Demonstrations for Robot Manipulationcited by 725
- 2019RLBench: The Robot Learning Benchmark & Learning Environmentcited by 689
- 2020SAPIEN: A SimulAted Part-based Interactive ENvironmentcited by 595
- 2018PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understandingcited by 526
- 2017AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehiclescited by 523
- 2021Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learningcited by 512
19 more
- 2020robosuite: A Modular Simulation Framework and Benchmark for Robot Learningcited by 511
- 2021Habitat 2.0: Training Home Assistants to Rearrange their Habitatcited by 511
- 2021RMA: Rapid Motor Adaptation for Legged Robotscited by 508
- 2019Learning agile and dynamic motor skills for legged robotscited by 504
- 2022Learning robust perceptive locomotion for quadrupedal robots in the wildcited by 382
- 2020ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulationcited by 250
- 2018RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitationcited by 204
- 2021iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Taskscited by 194
- 2020SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulationcited by 121
- 2021ManipulaTHOR: A Framework for Visual Object Manipulationcited by 102
- 2015Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocolscited by 99
- 2019Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Taskscited by 67
- 2022Factory: Fast Contact for Robotic Assemblycited by 54
- 2021Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulationcited by 44
- 2021Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFingercited by 38
- 2019DoorGym: A Scalable Door Opening Environment And Baseline Agentcited by 26
- 2021GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Modelcited by 25
- 2022Sim-to-Real for Soft Robots using Differentiable FEM: Recipes for Meshing, Damping, and Actuationcited by 10
- 2020RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policiescited by 7
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Citing papers per year: 2023: 11; 2024: 41; 2025: 155; 2026: 88.
295 papers.
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