Title :
LIVS: Local Interaction via Virtual Stigmergy coordination in distributed search and collective cleanup
Author :
Meng, Yan ; Gan, Jing
Author_Institution :
Stevens Inst. of Technol., Hoboken
fDate :
Oct. 29 2007-Nov. 2 2007
Abstract :
Distributed coordination is critical for a multi-robot system in hazardous waste cleanup under a dynamic environment. To achieve higher efficiency as well as robustness, a bio-inspired local interaction via virtual stigmergy (LIVS) coordination approach is proposed in this paper. This new meta-heuristic integrates two mechanisms - stigmergy-based autocatalytic mechanism and particle swarm optimization cognitive capabilities through local interaction - into one efficient approach. The proposed LIVS algorithm has been implemented on both self-developed simulator and embodied robot simulator Player/Stage in a searching task. The simulation results demonstrate the feasibility, robustness, and scalability of the methods with real-world constraints.
Keywords :
distributed control; multi-robot systems; particle swarm optimisation; waste handling; Player/Stage simulator; bio-inspired local interaction; collective cleanup; distributed coordination; distributed search; embodied robot simulator; meta-heuristic; multirobot system; particle swarm optimization cognitive capabilities; self-developed simulator; stigmergy-based autocatalytic mechanism; virtual stigmergy coordination; Biological system modeling; Cognitive robotics; Educational institutions; Global communication; Intelligent robots; Mobile robots; Multirobot systems; Particle swarm optimization; Robot kinematics; Robustness;
Conference_Titel :
Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-0912-9
Electronic_ISBN :
978-1-4244-0912-9
DOI :
10.1109/IROS.2007.4399254