Title :
Multi-agent collaborative approaches in RCRSS
Author :
Shen Jie ; Liang Zhiwei ; Liu Juan ; Zhu Songhao
Author_Institution :
Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
RCRSS is a multi-agent simulation environment, in this simulation environment, firefighters, ambulance and police work together to reduce disaster losses in the simulation environment. This article will use the information fusion technology to RCRSS multi-agent systems to use the agent (the police) to get the other agent (including the perception of the police agent) local information. It will get more complete situation assessment in order to plan and coordinate the collaborative behavior of multi-agent system, based on information fusion of multi-agent collaborative approach. The method used in robot rescue simulation system, the results show that the method can achieve a global task allocation strategy, improving agent collaboration.
Keywords :
emergency management; mobile robots; multi-agent systems; multi-robot systems; RCRSS multiagent systems; agent collaboration improvement; agent local information; ambulance; disaster loss reduction; firefighters; information fusion technology; multiagent collaborative approach; multiagent simulation environment; police; robot rescue simulation system; situation assessment; task allocation strategy; Collaboration; Conferences; Educational institutions; Electronic mail; Multi-agent systems; Robot kinematics; Information fusion; MAS; Rescue Simulation; Robot; Task allocation;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561552