Collaborative multi-agent architecture simulation using mobile robots for path planning in unknown environments

Author

Karthik Gopalakrishnan

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 models
Electronic data processing -- Distributed processing
Mathematical optimization
Robots -- 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