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
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;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems (SASO), 2012 IEEE Sixth International Conference on
Conference_Location :
Lyon
Print_ISBN :
978-1-4673-3126-5
DOI :
10.1109/SASO.2012.43