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。

2025-10-31 至 2025-10-31 共收录 3 篇信号源：cs.RO, cs.AI, cs.CV, cs.LG

1. 模仿学习与强化学习 3 篇

2510.26406 2025-10-31 cs.RO cs.AI 88%

Human-in-the-loop Online Rejection Sampling for Robotic Manipulation

Guanxing Lu, Rui Zhao, Haitao Lin, He Zhang, Yansong Tang

机构 * Tsinghua Shenzhen International Graduate School（清华大学深圳国际研究生院）； Tencent Robotics X（腾讯机器人实验室）

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

Comments 8 pages

2510.26646 2025-10-31 cs.RO cs.AI cs.LG 79%

Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic Environments

Xiaoyi He, Danggui Chen, Zhenshuo Zhang, Zimeng Bai

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

Comments 6 pages, 5 figures; ROS+Gazebo (TurtleBot3) implementation; evaluation with PathBench metrics; code (primary): https://github.com/MayaCHEN-github/HierarchicalRL-robot-navigation; mirror (for reproducibility): https://github.com/ShowyHe/DRL-robot-navigation

2510.26089 2025-10-31 cs.LG cs.AI cs.MA 62%

Network-Constrained Policy Optimization for Adaptive Multi-agent Vehicle Routing

Fazel Arasteh, Arian Haghparast, Manos Papagelis

机构 * York University（约克大学）

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

Comments 29 pages, 12 figures. Fazel Arasteh and Arian Haghparast contributed equally to this research. Submitted to ACM Transactions on Spatial Algorithms and Systems (TSAS). The code for this work is publicly available at https://github.com/Arianhgh/HHAN