Masters Theses
Abstract
"This research presents a collaborative multi-agent architecture for sensor-based path planning of mobile robots to visit multiple targets in an unknown environment...a framework for integrating local behaviors of the robot and global knowledge of the entire team of robots is presented, to perform effectively in a path-planning task. Ant Colony Optimization used by the robots for finding paths"--Abstract, page iii.
Advisor(s)
Cihan H. Dagli, 1949-
Committee Member(s)
Ann K. Miller
David Lee Enke, 1965-
Department(s)
Engineering Management and Systems Engineering
Degree Name
M.S. in Systems Engineering
Publisher
University of Missouri--Rolla
Publication Date
Fall 2006
Pagination
ix, 64 pages
Note about bibliography
Includes bibliographical references (pages 62-63)
Rights
© 2006 Karthik Gopalakrishnan, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Subject Headings
Ants -- Behavior -- Mathematical modelsElectronic data processing -- Distributed processingMathematical optimizationRobots -- Control systems
Thesis Number
T 9111
Print OCLC #
124178560
Recommended Citation
Gopalakrishnan, Karthik, "Collaborative multi-agent architecture simulation using mobile robots for path planning in unknown environments" (2006). Masters Theses. 5901.
https://scholarsmine.mst.edu/masters_theses/5901
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