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Aug, 2022
平面覆盖任务中工作站多机器人系统协同学习
Learning to Coordinate for a Worker-Station Multi-robot System in Planar Coverage Tasks
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Jingtao Tang, Yuan Gao, Tin Lun Lam
TL;DR
本文提出了一种基于多机器人系统、强化学习与分布式规划相结合的方法,用于解决多机器人覆盖路径规划问题,并成功减少环境中随机干扰物的影响和避免碰撞,实现了任务完成时间的优化。
Abstract
For massive large-scale tasks, a
multi-robot system
(MRS) can effectively improve efficiency by utilizing each robot's different capabilities, mobility, and functionality. In this paper, we focus on the multi-robot
cove
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