计算机科学
模块化设计
领域(数学)
人工智能
机器人
比例(比率)
控制工程
集合(抽象数据类型)
职位(财务)
控制(管理)
功能(生物学)
工程类
数学
物理
纯数学
程序设计语言
经济
操作系统
生物
进化生物学
量子力学
财务
作者
Huaping Wang,Jiancong Chen,Han Tao,HU Hao-jun,Qing Shi,Qiang Huang,Toshio Fukuda
出处
期刊:IEEE-ASME Transactions on Mechatronics
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:: 1-12
标识
DOI:10.1109/tmech.2023.3304487
摘要
Contact micromanipulations are mostly based on multirobot coordinated operations for specific tasks and targets. However, micromanipulations involve a highly orchestrated set of tasks requiring an uncertain range of flexibilities and dimensions. Therefore, coordination strategies enabling multirobots to dynamically adapt to complex tasks are still needed. Here, we propose a formation-based dynamically reconfigurable control method for railed multirobot coordinated micromanipulation to form a multiconfiguration of end-effectors. Modular micromanipulators perform macro–micro cross-scale motions to complete coordination on the rail. By presetting the configuration, the micromanipulators automatically transform the configuration from single ended to double ended and even multiended using the leader–follower and artificial potential field methods. The virtual “attraction” and “repulsion” generated by the artificial potential function enable the micromanipulators to reach the required formation. Then, the “followers” and “leader” maintain the required position constraints, and the manipulations are completed under the guidance of the “leader.” Our experimental results show the feasibility and stability of the control method and the superior following performance. The method can be used to manipulate adhesives of different shapes or fragile targets with sizes between 50 and 1000 μm in a liquid environment and can achieve high success rates of target release within 1.5 s by a poking strategy.
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