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Content Provider | IEEE Xplore Digital Library |
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Author | Vo, C. Harrison, J.F. Jyh-Ming Lien |
Copyright Year | 2009 |
Description | Author affiliation: Department of Computer Science, George Mason University, 4400 University Drive MSN 4A5, Fairfax, VA 22030 USA (Vo, C.; Harrison, J.F.; Jyh-Ming Lien) |
Abstract | Despite the large body of work in both motion planning and multi-agent simulation, little work has focused on the problem of planning motion for groups of robots using external “controller” agents. We call this problem the group control problem. This problem is complex because it is highly underactuated, dynamic, and requires multi-agent cooperation. In this paper, we present a variety of new motion planning algorithms based on EST, RRT, and PRM methods for shepherds to guide flocks of robots through obstacle-filled environments. We show using simulation on several environments that under certain circumstances, motion planning can find paths that are too complicated for naïve “simulation only” approaches. However, inconsistent results indicate that this problem is still in need of additional study. |
Starting Page | 3768 |
Ending Page | 3773 |
File Size | 1668593 |
Page Count | 6 |
File Format | |
ISBN | 9781424438037 |
DOI | 10.1109/IROS.2009.5354032 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-10-10 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Motion control Motion planning Path planning Biological system modeling Intelligent robots Computational modeling USA Councils Robot control Navigation Dogs |
Content Type | Text |
Resource Type | Article |
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