STRATEGY BASED ON MACHINE LEARNING FOR THE CONTROL OF A RIGID FORMATION IN A MULTI-ROBOTS FRAME

被引：0
|
作者：
Wang, Ting [1 ]
Sabourin, Christophe [1 ]
Madani, Kurosh [1 ]
机构：
[1] Paris Est Univ, Signals Images & Intelligent Syst Lab LISSI, EA 3956, Senart Inst Technol, Ave Pierre Point, F-77127 Lieusaint, France
来源：
ICINCO 2011: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 2 | 2011年
关键词：
Multi-robot systems; Formation control; Learning and adaptive Systems; Intelligent logistic application;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Many applications can benefit from multi-robot systems like warehouse management, industrial assembling, military applications, daily tasks. In this paper, we describe a new approach for the control of a formation of robots. In the proposed solution, we consider the formation as a single robot and our work focus on how to control the formation. We suppose there are virtual rigid links between all robots and all robots perform the same task in synchronous manner.
引用
收藏
页码：300 / 303
页数：4
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