机器人 / 具身智能

SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding

Shuhao Liao, Weihang Xia, Yuhong Cao, Weiheng Dai, Chengyang He, Wenjun Wu, Guillaume Sartoretti

机构 * Hangzhou International Innovation Institute, Beihang University, China（北京航空航天大学杭州国际创新研究院） ； CoreControl Inc, Hangzhou, China（杭州核心控制公司） ； Department of Mechanical Engineering, National University of Singapore, Singapore（新加坡国立大学机械工程系） 纠错

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

Comments Accepted for presentation at the 2025 IEEE International Conference on Robotics and Automation (ICRA)

Journal ref 2025 IEEE International Conference on Robotics and Automation ICRA pp. 1-7

Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments

Jonas De Maeyer, Hossein Yarahmadi, Moharram Challenger

机构 * Department of Computer Science University of Antwerp (UA)（安特卫普大学计算机科学系） ； Department of Computer Engineering, Faculty of Engineering, Ayatollah Boroujerdi University（阿亚图拉·博鲁杰尔迪大学工程学院计算机工程系） ； Department of Computer Science University of Antwerp (UA) and Flanders Make（安特卫普大学计算机科学系和弗拉芒制造） 纠错

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

Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention

Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos

机构 * Robotics and AI Group, Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology（机器人与人工智能组，计算机科学、电气与空间工程系，吕勒奥技术大学） 纠错

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

Comments 8 pages, 6 figures, submitted to the 2026 IEEE International Conference on Robotics & Automation