Title :
A bio-inspired approach to task assignment of multi-robots
Author :
Xin Yi ; Anmin Zhu ; Zhong Ming
Author_Institution :
Sch. of Comput. Sci. & Software Eng., Shenzhen Univ., Shenzhen, China
Abstract :
In this paper, a SOM (self organizing map)-based approach to task assignment of multi-robots in 3-D dynamic environments is proposed. This approach intends to mimic the operating mechanism of biological neural systems, and integrates the advantages and characteristics of biological neural systems. It is capable of dynamically planning the paths of multi-robots in 3-D environments under uncertain situations, such as when some robots are added in or broken down or when more than one robot is needed for some special task locations. The effectiveness and efficiency of the proposed approach are demonstrated by simulation studies.
Keywords :
multi-robot systems; path planning; self-organising feature maps; 3D dynamic environment; SOM approach; biological neural system; dynamic path planning; multirobot system; operating mechanism; self organizing map; task assignment; uncertain situations; Heuristic algorithms; Multi-robot systems; Path planning; Robot kinematics; Vectors; Vehicle dynamics;
Conference_Titel :
Swarm Intelligence (SIS), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/SIS.2014.7011778
