DocumentCode :
2450445
Title :
On the Feasibility of Mass-Spring-Relaxation for Simple Self-Deployment
Author :
Eckert, Juergen ; Lichte, Hermann ; Dressler, Falko ; Frey, Hannes
Author_Institution :
Dept. of Comput. Sci., Univ. of Erlangen, Erlangen, Germany
fYear :
2012
fDate :
16-18 May 2012
Firstpage :
203
Lastpage :
208
Abstract :
Self-deployment describes the task of spreading an autonomously moving swarm of mobile robots over a given area. All these robots have to move to locations such that the set of robot locations satisfies a desired property. In this work, we describe a fully distributed deployment algorithm executed locally at each robot. The approach requires only few local information per node: the distances and very coarse angular information to immediate neighbors. It has been developed for use on small robots with very restricted memory, communication, and processing capabilities. In this paper, we specify the algorithm and evaluate it in an empirical study. This includes both simulation studies and real test bed experiments. For the test bed, we consider two different platforms: ground moving robots and aerial robots. The results of our simulations show that our local deployment rules achieve almost globally optimal results. The test bed study supports and substantiates our simulation study and shows as a proof of concept that our algorithm works both with real ground based and aerial based robot swarms.
Keywords :
mobile robots; aerial robots; fully distributed deployment algorithm; ground moving robots; mass-spring-relaxation feasibility; mobile robots autonomously moving swarm; simple self-deployment; Equations; Force; Nickel; Robot sensing systems; Springs; Vectors; Mass-spring-relaxation; Self-deployment; Wireless sensor and actor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing in Sensor Systems (DCOSS), 2012 IEEE 8th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1693-4
Type :
conf
DOI :
10.1109/DCOSS.2012.14
Filename :
6227742
Link To Document :
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