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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。

2025-10-03 至 2025-10-03 共收录 4 信号源:cs.RO, cs.AI, cs.CV, cs.LG

1. 模仿学习与强化学习 4 篇

2510.01264 2025-10-03 cs.LG cs.RO 73%

A Framework for Scalable Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab

Isaac Peterson, Christopher Allred, Jacob Morrey, Mario Harper

机构 * Utah State University(犹他州立大学) US DEVCOM Army Research Laboratory(美国陆军研究实验室)

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

Comments 8 page, 9 figures, code https://github.com/DIRECTLab/IsaacLab-HARL

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2504.06735 2025-10-03 cs.RO cs.GR 70%

Interactive Expressive Motion Generation Using Dynamic Movement Primitives

Till Hielscher, Andreas Bulling, Kai O. Arras

机构 * Socially Intelligent Robotics Lab, Institute for Artificial Intelligence, University of Stuttgart(社会智能机器人实验室,人工智能研究所,斯图加特大学) Collaborative Artificial Intelligence Group, Institute for Visualization and Interactive Systems, University of Stuttgart(协作人工智能小组,可视化与交互系统研究所,斯图加特大学)

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

Comments This paper has been accepted for publication at the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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2510.01843 2025-10-03 cs.RO 57%

Like Playing a Video Game: Spatial-Temporal Optimization of Foot Trajectories for Controlled Football Kicking in Bipedal Robots

Wanyue Li, Ji Ma, Minghao Lu, Peng Lu

机构 * Adaptive Robotic Controls Lab (ArcLab), Department of Mechanical Engineering, The University of Hong Kong(适应性机器人控制实验室(ArcLab)、机械工程系、香港大学)

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

Comments 8 pages, 8 figures, conference paper

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2510.01492 2025-10-03 eess.SY cs.SY 50%

Off-Policy Reinforcement Learning with Anytime Safety Guarantees via Robust Safe Gradient Flow

Pol Mestres, Arnau Marzabal, Jorge Cortés

专题命中 模仿学习与强化学习 :navigation(abstract)

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