一个基于图的混合重构变形规划模块化机器人的模块化机器人.
Ruopeng Wei1, Yubin Liu1, Huijuan Dong1
1State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
本研究介绍了一种混合算法,用于自我重新配置的模块化机器人,以计划重新配置. 该算法通过将机器人配置分解成子配置来有效地转换机器人配置,从而实现有效的机器人系统规划.
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
- 计算机科学 计算机科学
背景情况:
- 自行重新配置的模块化机器人可以通过改变模块连接来改变其结构.
- 计划这些机器人达到新配置的运动序列是一个复杂的挑战.
研究的目的:
- 开发一种新的混合算法,用于模块化机器人的重构变形规划.
- 为了实现模块化机器人系统的初始和目标配置之间的高效转换.
主要方法:
- 提出了一个混合算法,将配置分解为具有最大共同性的子配置.
- 实现了自由顶点的分布式动态映射.
- 模块映射关系用于生成重新配置操作.
主要成果:
- 该算法有效地计划了模块化机器人的重新配置序列.
- 模拟和实验结果证明了算法的有效性.
结论:
- 拟议的混合算法为重新配置变形规划问题提供了有效的解决方案.
- 这项工作推进了自我重新配置的模块化机器人系统的能力.
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