DocumentCode
584243
Title
Self-Stabilizing Robot Team Formation with Proto: IEEE Self-Adaptive and Self-Organizing Systems 2012 Demo Entry
Author
Beal, Jacob ; Cleveland, Jeffrey ; Usbeck, Kyle
Author_Institution
Raytheon BBN Technol., Cambridge, MA, USA
fYear
2012
fDate
10-14 Sept. 2012
Firstpage
233
Lastpage
234
Abstract
We have used the Proto spatial computing language to create teaming algorithms based on random chain formation. Our algorithms are self-stabilizing, scale easily from less than ten robots to thousands of robots, and are highly robust against dynamic changes in perception and communication, arena size, teaming goals, adding and removing robots, and even mobility dimension. In this paper, we describe our approach, give details on our algorithms and their self-* properties, and present simulations validating the algorithms.
Keywords
adaptive systems; control engineering computing; mobile robots; multi-robot systems; self-adjusting systems; stability; Proto spatial computing language; arena size; random chain formation; self-adaptive systems; self-organizing systems; self-stabilizing robot team formation; teaming algorithms; Heuristic algorithms; Indexes; Resilience; Robot kinematics; Scalability; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Self-Adaptive and Self-Organizing Systems (SASO), 2012 IEEE Sixth International Conference on
Conference_Location
Lyon
ISSN
1949-3673
Print_ISBN
978-1-4673-3126-5
Type
conf
DOI
10.1109/SASO.2012.43
Filename
6394136
Link To Document