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Comm-bots - distributed coordination of mobile robot swarms to support message communication / Cem Karan.

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Dissertations & Theses @ University of Pennsylvania Available online

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Format:
Book
Thesis/Dissertation
Author/Creator:
Karan, Cem, author.
Contributor:
Taylor, Camillo J., degree supervisor.
Daniilidis, Kostas, degree supervisor.
University of Pennsylvania. Department of Computer and Information Science, degree granting institution.
Language:
English
Subjects (All):
Robotics.
Computer science.
Systems science.
Computer and Information Science--Penn dissertations.
Penn dissertations--Computer and Information Science.
Local Subjects:
Robotics.
Computer science.
Systems science.
Computer and Information Science--Penn dissertations.
Penn dissertations--Computer and Information Science.
Genre:
Academic theses.
Physical Description:
1 online resource (135 pages)
Contained In:
Dissertations Abstracts International 82-11B.
Place of Publication:
[Philadelphia, Pennsylvania] : University of Pennsylvania ; Ann Arbor : ProQuest Dissertations & Theses, 2021.
Language Note:
English
System Details:
Mode of access: World Wide Web.
text file
Summary:
In situations as diverse as search and rescue, exploration, or war, communications among actors is vital to accomplish a mission. Wireless robotic routers that physically reposition themselves have been proposed as a means of preventing network partitions from occurring. However, it is impossible to prevent network partition in all cases, and so methods that adapt to network partition are of paramount importance. This dissertation proposes and compares different control strategies aimed at solving the network partition problem by tasking individual mobile robots as message couriers between network partitions. To support this work, a model of the universe is presented and justified, and used as the basis for a new simulator written for this thesis. The control strategies are described and implemented, and their performance is measured using the simulator. Finally, further avenues of research are discussed.
Notes:
Source: Dissertations Abstracts International, Volume: 82-11, Section: B.
Advisors: Taylor, Camillo J.; Daniilidis, Kostas; Committee members: George Pappas; Alejandro Ribeiro; Brian Sadler.
Department: Computer and Information Science.
Ph.D. University of Pennsylvania 2021.
Local Notes:
School code: 0175
ISBN:
9798738631634
Access Restriction:
Restricted for use by site license.
This item must not be sold to any third party vendors.

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