机器人 / 具身智能 - arXivDaily 专题

2510.25405 2025-10-30 cs.RO 83%

Sim-to-Real Gentle Manipulation of Deformable and Fragile Objects with Stress-Guided Reinforcement Learning

Kei Ikemura, Yifei Dong, David Blanco-Mulero, Alberta Longhini, Li Chen, Florian T. Pokorny

机构 * the division of Robotics, Perception and Learning, KTH Royal Institute of Technology（机器人、感知与学习部门，皇家理工学院）； Institut de Robòtica i Informàtica Industrial, CSIC-UPC（机器人与信息技术工业研究所）

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

Comments Under review

2505.12153 2025-10-30 cs.RO 83%

Federated Deep Reinforcement Learning for Privacy-Preserving Robotic-Assisted Surgery

Sana Hafeez, Sundas Rafat Mulkana, Muhammad Ali Imran, Michele Sevegnani

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

Comments 11 pages, 7 figures, conference

Journal ref IEEE ICDCS 2025 45th IEEE International Conference on Distributed Computing Systems. Workshop on Federated and Privacy Preserving AI in Biomedical Applications (FPPAI), Glasgow, United Kingdom

2510.25679 2025-10-30 cs.AI physics.flu-dyn 79%

Navigation in a Three-Dimensional Urban Flow using Deep Reinforcement Learning

Federica Tonti, Ricardo Vinuesa

机构 * Department of Aerospace Engineering, University of Michigan（航空航天工程系，密歇根大学）； FLOW, Engineering Mechanics, KTH Royal Institute of Technology（FLOW，工程力学，皇家理工学院）

专题命中模仿学习与强化学习：navigation(title,abstract)；分类 cs.AI

2510.25668 2025-10-30 cs.AI cs.MM 79%

ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents

Tianyu Yang, Terry Ruas, Yijun Tian, Jan Philip Wahle, Daniel Kurzawe, Bela Gipp

机构 * University of Göttingen（戈丁根大学）； University of Notre Dame（诺特大学）； State and University Library of Göttingen（戈丁根州立大学图书馆）

专题命中模仿学习与强化学习：navigation(title,abstract)；分类 cs.AI

2510.25529 2025-10-30 cs.AI 57%

Off-policy Reinforcement Learning with Model-based Exploration Augmentation

Likun Wang, Xiangteng Zhang, Yinuo Wang, Guojian Zhan, Wenxuan Wang, Haoyu Gao, Jingliang Duan, Shengbo Eben Li

专题命中模仿学习与强化学习：world model(abstract)；分类 cs.AI

2510.25320 2025-10-30 cs.AI cs.CL 57%

GAP: Graph-Based Agent Planning with Parallel Tool Use and Reinforcement Learning

Jiaqi Wu, Qinlao Zhao, Zefeng Chen, Kai Qin, Yifei Zhao, Xueqian Wang, Yuhang Yao

机构 * Tsinghua University（清华大学）； Huazhong University of Science and Technology（华中科技大学）； National University of Singapore（新加坡国立大学）； Carnegie Mellon University（卡内基梅隆大学）

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

2502.14819 2025-10-30 cs.LG 57%

Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models

Vlad Sobal, Wancong Zhang, Kyunghyun Cho, Randall Balestriero, Tim G. J. Rudner, Yann LeCun

机构 * New York University（纽约大学）； Genentech（基因泰克）； Brown University（布朗大学）； University of Toronto（多伦多大学）； Meta – FAIR

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

Comments Project web page: https://latent-planning.github.io/

2410.20907 2025-10-30 eess.SY cs.SY 50%

Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning

Seyed Adel Alizadeh Kolagar, Mehdi Heydari Shahna, Jouni Mattila

专题命中模仿学习与强化学习：robotic(abstract)

Comments This paper has been submitted to the IEEE for potential publication

1. 模仿学习与强化学习 8 篇