ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
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Cited by 55 in Vision-language-action models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Simulation has enabled unprecedented compute-scalable approaches to robot learning. However, many existing simulation frameworks typically support a narrow range of scenes/tasks and lack features critical for scaling generalizable robotics and sim2real. We introduce and open source ManiSkill3, the fastest state-visual GPU parallelized robotics simulator with contact-rich physics targeting generalizable manipulation. ManiSkill3 supports GPU parallelization of many aspects including simulation+rendering, heterogeneous simulation, pointclouds/voxels visual input, and more. Simulation with rendering on ManiSkill3 can run 10-1000x faster with 2-3x less GPU memory usage than other platforms, achieving up to 30,000+ FPS in benchmarked environments due to minimal python/pytorch overhead in the system, simulation on the GPU, and the use of the SAPIEN parallel rendering system. Tasks that used to take hours to train can now take minutes. We further provide the most comprehensive range of GPU parallelized environments/tasks spanning 12 distinct domains including but not limited to mobile manipulation for tasks such as drawing, humanoids, and dextrous manipulation in realistic scenes designed by artists or real-world digital twins. In addition, millions of demonstration frames are provided from motion planning, RL, and teleoperation. ManiSkill3 also provides a comprehensive set of baselines that span popular RL and learning-from-demonstrations algorithms.
Key facts. Cited by 216 papers in the map (data through 7 Oct 2026). Builds on 41 of its 52 references that are in the map. First posted on arXiv 1 Oct 2024.
Builds on
41 of 52 references.
References · 41
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29 more
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- 2023ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skillscited by 313
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- 2023Orbit: A Unified Simulation Framework for Interactive Robot Learning Environmentscited by 239
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- 2021ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrationscited by 193
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Citing papers per year: 2024: 4; 2025: 89; 2026: 123.
216 papers.
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38 more
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- 2024Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulationcited by 29
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- 2025RLinf-VLA: A Unified and Efficient Framework for Reinforcement Learning of Vision-Language-Action Modelscited by 26
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- 2025Dex1B: Learning with 1B Demonstrations for Dexterous Manipulationcited by 23
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- 2025VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learningcited by 18
- 2025Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidancecited by 18
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- 2025HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoningcited by 12
- 2025REALM: A Real-to-Sim Validated Benchmark for Generalization in Robotic Manipulationcited by 12
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- 2026Video2STL: Grounding VLM-Generated Temporal Specifications for Robot Learning29 Sep 2026
- 2026Disentangling Spurious Correlations in Vision-Language-Action Models via Predicting Domain-Invariant Latent Lookahead29 Sep 2026
- 2026Real2Gym: Building Gyms from Videos, Bringing Skills to Robots29 Sep 2026
- 2026AeroManip-VLA: Scalable Vision-Language-Action Learning for Aerial Manipulation with RL-Generated Demonstrations29 Sep 2026
- 2026PIVOT: Pivot-Aware On Policy Self Distillation for Multi-Turn VLM Agents28 Sep 2026
- 2026The Low-Rank Structure of VLA Reinforcement Learning28 Sep 2026
- 2026RLE-Bench: A Qualifying Exam for Coding Agents as Robot Learning Engineers28 Sep 2026
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50 newest of 216 All 216 (JSON)
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- 2026RLDX-1 Technical Reportcited by 25
- 2025STARE-VLA: Progressive Stage-Aware Reinforcement for Fine-Tuning Vision-Language-Action Modelscited by 24
- 2025RLRC: Reinforcement Learning-based Recovery for Compressed Vision-Language-Action Modelscited by 20
- 2025Refined Policy Distillation: From VLA Generalists to RL Expertscited by 19
- 2025Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidancecited by 18
- 2026EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policiescited by 18
- 2025π_textttRL: Online RL Fine-tuning for Flow-based Vision-Language-Action Modelscited by 16
- 2026On-the-Fly VLA Adaptation via Test-Time Reinforcement Learningcited by 14
12 most cited of 47 All 47 (JSON)
- 2026Disentangling Spurious Correlations in Vision-Language-Action Models via Predicting Domain-Invariant Latent Lookahead29 Sep 2026
- 2026AeroManip-VLA: Scalable Vision-Language-Action Learning for Aerial Manipulation with RL-Generated Demonstrations29 Sep 2026
- 2026The Low-Rank Structure of VLA Reinforcement Learning28 Sep 2026
- 2026Where Success Breaks: Failure-Boundary Learning for Robust Vision-Language-Action Models5 Sep 2026
- 2026MA-VLA: Multi-Arm Vision-Language-Action Model for Collaboration and Compositional Generalization26 Aug 2026
- 2026Algorithm-Architecture Co-Design for Efficient VLA Inference via Speculative Inference and Verification16 Aug 2026
- 2026StructRL: Structured Action-Space Exploration for Flow-Based VLAs15 Aug 2026
- 2026Reflex: Enabling Fast and Predictive Vision-Language-Action Models for Reaction-Critical Manipulation14 Aug 2026
- 2026A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference27 Jul 2026
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- 2026Benchmarking World Models for Continual Learning on Compositional Tasks18 Sep 2026
- 2026WorldSimProbe: Diagnosing Simulator Faithfulness in Action-Conditioned World Models for Embodied Manipulation10 Aug 2026
- 2026MobileWAM: Bridging World Action Models to Mobile Manipulation with Chain-of-Foresight5 Aug 2026
- 2026Quo Vadis, World Modeling?3 Aug 2026
- 2026ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its Shadow30 Jul 2026
- 20263D Point World Models: Point Completion Enables More Accurate Dynamics Learning30 Jun 2026
- 2026Hallucination in World Models is Predictable and Preventable25 Jun 2026
- 2026World Action Models: A Survey18 Jun 2026
- 2026FlowMPC: Improving Flow Matching policies with World Models15 Jun 2026
12 newest of 21 All 21 (JSON)
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12 most cited of 82 All 82 (JSON)
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12 newest of 82 All 82 (JSON)