2015/03/01 by Aryo Jamshidpey, Mohsen Afsharchi, Jamshidpey, Aryo +1
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Neuroscience · #Artificial Intelligence (cs.AI) #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #Insect Pheromone Research and Control #Insect and Arachnid Ecology and Behavior #Modular Robots and Swarm Intelligence #Multiagent Systems (cs.MA) #Olfactory and Sensory Function Studies #Robotics (cs.RO)
paper · pdf · doi:10.48550/arxiv.1503.00237
openalex publication_date 2015/03/01 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
In this paper we study multi robot cooperative task allocation issue in a\nsituation where a swarm of robots is deployed in a confined unknown environment\nwhere the number of colored spots which represent tasks and the ratios of them\nare unknown. The robots should cover this spots as far as possible to do\ncleaning and sampling actions desirably. It means that they should discover the\nspots cooperatively and spread proportional to the spots area and avoid from\nremaining idle. We proposed 4 self-organized distributed methods which are\ncalled hybrid methods for coping with this scenario. In two different\nexperiments the performance of the methods is analyzed. We compared them with\neach other and investigated their scalability and robustness in term of single\npoint of failure.\n