COMING SOON! PQDT Open is getting a new home!

ProQuest Open Access Dissertations & Theses will remain freely available as part of a new and enhanced search experience at

Questions? Please refer to this FAQ.

Dissertation/Thesis Abstract

Leader based cyclic pursuit
by Miltenberger, Kenneth L., M.S., University of Maryland, College Park, 2016, 114; 10130115
Abstract (Summary)

In this work a system of autonomous agents engaged in cyclic pursuit (under constant bearing (CB) strategy) is considered, for which one informed agent (the leader) also senses and responds to a stationary beacon. Building on the framework proposed in a previous work on beacon-referenced cyclic pursuit, necessary and suffi- cient conditions for the existence of circling equilibria in a system with one informed agent are derived, with discussion of stability and performance. In a physical testbed, the leader (robot) is equipped with a sound sensing apparatus composed of a real time embedded system, estimating direction of arrival of sound by an Interaural Level and Phase Difference Algorithm, using empirically determined phase and level signatures, and breaking front-back ambiguity with appropriate sensor placement. Furthermore a simple framework for implementing and evaluating the performance of control laws with the Robot Operating System (ROS) is proposed, demonstrated, and discussed.

Supplemental Files

Some files may require a special program or browser plug-in. More Information

Indexing (document details)
Advisor: Krishnaprasad, P. S., Galloway, Kevin S.
Commitee: Tits, Andre L.
School: University of Maryland, College Park
Department: Electrical Engineering
School Location: United States -- Maryland
Source: MAI 55/05M(E), Masters Abstracts International
Subjects: Electrical engineering, Robotics, Acoustics
Keywords: Collective behavior, Cyclic pursuit, Leader based, Nonlinear control, Robot phonotaxis, Sound source localization
Publication Number: 10130115
ISBN: 978-1-339-87978-9
Copyright © 2021 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy