多机器人系统用于与移动操纵器和运输代理人合作整理
Jae-Bong Yi1, Shady Nasrat1, Dongwoon Song1
1Department of Electrical Engineering, Pusan National University, Busan 46241, Republic of Korea.
Sensors (Basel, Switzerland)
|September 19, 2025
概括
本研究介绍了一种合作系统,用于异质机器人解决多代理采集和交付 (MAPD) 问题. 它可以实现动态的任务分配和机器人重新配对,以提高运营协同效应.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 多代理系统 多代理系统
背景情况:
- 在多代理系统中,合作执行任务对于复杂的操作至关重要.
- 之前的研究通常集中在同质的机器人团队或异质机器人的固定角色上.
- 高效的任务分配和动态重新配对是多机器人协调的关键挑战.
研究的目的:
- 介绍一个新的系统,用于移动操纵者和运输代理人在多代理采集和交付 (MAPD) 问题中合作执行任务.
- 为了使智能任务分配考虑到机器人的能力和状态.
- 为了改善系统适应性,促进代理人的动态重新配对.
主要方法:
- 开发了一个移动操纵者和运输代理合作的系统.
- 实施了考虑机器人的异质能力和状态的任务分配机制.
- 利用拍卖算法来动态重新配对运输代理商.
- 采用部分轨迹规划,根据重新配对进行动态更新.
主要成果:
- 在移动操纵者和运输代理商之间展示了协同合作.
- 展示了导致自适应任务执行的动态重新配对能力.
- 通过模拟验证了系统的有效性.
- 超过了缺乏动态配对的基线系统.
结论:
- 拟议的系统有效地解决了MAPD异质机器人的问题.
- 动态重新配对和合作任务执行提高了系统性能和适应性.
- 这种方法为复杂的多机器人协调提供了一个有希望的方向.
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