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通过使用分布式模型预测控制的双人形机器人进行协调运输
Shengjun Wen1, Zhaoyuan Shi2, Hongjun Li1
1School of Zhongyuan-Petersburg Aviation, Zhongyuan University of Technology, Zhengzhou 450007, China.
Biomimetics (Basel, Switzerland)
|June 26, 2024
概括
这项研究引入了一种用于双人形机器人的新型控制系统,增强了协作任务. 它解决了网络延迟问题,并提高了位置跟踪精度,以实现更可靠的机器人合作.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 人类型机器人应用程序
- 分布式控制架构的分布式控制架构
背景情况:
- 双人型机器人系统在复杂的环境中提供了更高的灵活性和适应性.
- 双人机器人的协作控制面临诸多挑战,包括网络延迟和位置跟踪精度.
- 现有的控制系统可能在动态场景中难以保持一致性和精度.
研究的目的:
- 开发一个强大的控制系统,用于双人形人形机器人协作运输.
- 解决和减轻影响协作一致性的网络延迟问题.
- 为了提高人形机器人在协作任务中的位置跟踪精度.
主要方法:
- 使用领导追随者方法实现分布式模型预测控制器 (DMPC).
- 开发一个插座通信协议,以确保双机器人协作的一致性.
- 关于DMPC战略的建议,包括用于增强位置跟踪的历史累积错误.
主要成果:
- 拟议的插座通信协议有效地解决了双人形机器人协作中的一致性问题.
- 考虑到历史累积错误,DMPC显著提高了位置跟踪精度.
- 基于领导者和追随者的DMPC展示了成功的协作运输控制.
结论:
- 开发的控制系统提高了双人形机器人协作的可靠性和精度.
- 通信协议和考虑错误的DMPC的集成为复杂的机器人任务提供了强大的解决方案.
- 这项研究有助于人类机器人协调控制的进步.
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