Formation optimization for a fleet of wheeled mobile robots - A geometric approach

被引:35
作者
Bhatt, Rajankumar M. [1 ]
Tang, Chin Pei [1 ]
Krovi, Venkat N. [1 ]
机构
[1] SUNY Buffalo, Dept Mech & Aerosp Engn, Buffalo, NY 14260 USA
基金
美国国家科学基金会;
关键词
Differential geometry; Formation motion-planning; Formation optimization; Wheeled mobile robots; ARCHITECTURE;
D O I
10.1016/j.robot.2006.12.012
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Tight formation-based operations are critical in several emerging applications for robot collectives - ranging from cooperative payload transport to synchronized distributed data-collection. In this paper, we investigate the optimal relative layout for members of a team of Differentially-Driven Wheeled Mobile Robots (DD-WMRs) moving in formation for ultimate deployment in cooperative payload transport tasks. Our particular focus is on modeling such formations, developing the motion plans and determining the "best formation" in a differential-geometric setting. Specifically, a preferred team-fixed frame serves as a virtual leader inducing motion plans for the individual DD-WMRs which form the vertices of a virtual structure. The resulting motion plans for the DD-WMRs as well as overall team-performance depend both on the specified team-frame motions as well as their relative-layout within the formation. Emphasis is placed on developing suitable invariant (yet quantitative) measures of formation quality and a systematic optimization-based selection of the formation-layout. The use of relative formation-parameterization with respect to a team-frame serves to decouple the team-level optimal layout selection process. The optimal location of each DD-WMR can now be found with respect to the team-frame individually and the feasibility of distributed implementation facilitates scaling to larger-sized formations. Analytical and numerical results, from case studies of formation optimization of three DD-WMRs maneuvering along certain desired planar paths, are presented to highlight the salient features and benefits. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:102 / 120
页数:19
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