Title :
Multi-robots coverage approach
Author :
Chellali, Ryad ; Baizid, Khelifa
Author_Institution :
PAVIS, Ist. Italiano di Technologia Genova, Genoa, Italy
Abstract :
In this paper we present a full and effective system allowing the deployment of N semi-autonomous robots in order to cover a given area for video surveillance and search purposes. The coverage problem is solved through a new technique based on the exploitation of Voronoi tessellations. To supervise a given area, a set of viewpoints are extracted, then visited by a group of mobile rover. Robots paths are calculated by resorting a salesman problem through Multi-objective Genetic Algorithms. In the running phase, robots deal with both motion and sensors uncertainties while performing the pre-established paths. Results of indoor scenario are given.
Keywords :
computational geometry; genetic algorithms; mobile robots; multi-robot systems; robot vision; video surveillance; Voronoi tessellations; mobile rover; multiobjective genetic algorithms; multirobot coverage approach; salesman problem; search purposes; semi-autonomous robots; video surveillance; Cameras; Conferences; Robot vision systems; Surveillance;
Conference_Titel :
Robotic Intelligence In Informationally Structured Space (RiiSS), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/RIISS.2014.7009171