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视觉与机器人

机器人 / 具身智能

机器人、具身智能、机器人学习、操作、导航和具身世界模型。

2025-10-07 至 2025-10-07 共收录 5 信号源:cs.RO, cs.AI, cs.CV, cs.LG

1. 模仿学习与强化学习 5 篇

2510.03706 2025-10-07 cs.RO cs.AI cs.CV cs.LG 77%

EmbodiSwap for Zero-Shot Robot Imitation Learning

Eadom Dessalene, Pavan Mantripragada, Michael Maynord, Yiannis Aloimonos

机构 * department of Computer Science, University of Maryland, College Park, MD, 20742(计算机科学系,马里兰大学, College Park, MD)

专题命中 模仿学习与强化学习 :robotics(abstract);manipulation(abstract);分类 cs.RO、cs.AI、cs.CV

Comments Video link: https://drive.google.com/file/d/1UccngwgPqUwPMhBja7JrXfZoTquCx_Qe/view?usp=sharing

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2510.03578 2025-10-07 cs.LG cs.AI stat.ML 62%

Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning

Haoran Li, Chenhan Xiao, Muhao Guo, Yang Weng

机构 * School of Electrical, Computer and Energy Engineering(电气、计算机与能源工程学院) Arizona State University(亚利桑那州立大学)

专题命中 模仿学习与强化学习 :robotics(abstract);分类 cs.AI、cs.LG

Comments 30 pages, 6 figures

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2510.03302 2025-10-07 cs.LG cs.CV 62%

Revoking Amnesia: RL-based Trajectory Optimization to Resurrect Erased Concepts in Diffusion Models

Daiheng Gao, Nanxiang Jiang, Andi Zhang, Shilin Lu, Yufei Tang, Wenbo Zhou, Weiming Zhang, Zhaoxin Fan

机构 * USTC(中国科学技术大学) Beihang University(北京航空航天大学) University of Manchester(曼彻斯特大学) NTU(南洋理工大学) FYUST(福建师范大学)

专题命中 模仿学习与强化学习 :manipulation(abstract);分类 cs.CV、cs.LG

Comments 21 pages, 10 figures

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2510.04076 2025-10-07 cs.RO cs.SY eess.SY 57%

From Shadow to Light: Toward Safe and Efficient Policy Learning Across MPC, DeePC, RL, and LLM Agents

Amin Vahidi-Moghaddam, Sayed Pedram Haeri Boroujeni, Iman Jebellat, Ehsan Jebellat, Niloufar Mehrabi, Zhaojian Li

专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.RO

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2505.19281 2025-10-07 cs.LG 57%

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning

Yuzheng Hu, Fan Wu, Haotian Ye, David Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao

机构 * UIUC Urbana(伊利诺伊大学 Urbana分校) Stanford University(斯坦福大学)

专题命中 模仿学习与强化学习 :navigation(abstract);分类 cs.LG

Comments Accepted at NeurIPS 2025 as an oral

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