ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
Arth Shukla, Stone Tao, Hao Su
2025年份
5顶会引用
摘要
Live-rendered frames taken from ManiSkill-HAB environments while running policy rollouts with skill chaining. Ray-tracing enabled. Full videos available on website.
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引用它的顶会 Paper5
- VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM AgentsKangrui Wang, Pingyue Zhang, Zihan Wang, Yaning Gao 等NeurIPS 2025 · 被引用 66 次
- Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement LearningEgor Cherepanov, Nikita Kachaev, Alexey K. Kovalev, Aleksandr I. PanovICLR 2026 · 被引用 43 次
- AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile ManipulationSixiang Chen, Jiaming Liu, Siyuan Qian, Han Jiang 等NeurIPS 2025 · 被引用 30 次
- Learning Massively Multitask World Models for Continuous ControlNicklas Hansen, Hao Su, Xiaolong WangICLR 2026 · 被引用 14 次
- Scalable Trajectory Generation for Whole-Body Mobile ManipulationYida Niu, Xinhai Chang, Xin Liu, Ziyuan Jiao 等CVPR 2026
它引用的顶会 Paper6
- Habitat: A Platform for Embodied AI ResearchManolis Savva, Jitendra Malik, Devi Parikh, Dhruv Batra 等ICCV 2019 · 被引用 1,863 次
- Habitat 2.0: Training Home Assistants to Rearrange their HabitatAndrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans 等NeurIPS 2021 · 被引用 826 次
- Learning Interactive Real-World SimulatorsSherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson 等ICLR 2024 · 被引用 399 次
- Efficient Online Reinforcement Learning with Offline DataPhilip J. Ball, Laura Smith, Ilya Kostrikov, Sergey LevineICML 2023 · 被引用 326 次
- SAPIEN: A SimulAted Part-Based Interactive ENvironmentFanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia 等CVPR 2020
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