DocumentCode :
1866239
Title :
A human inspired collision avoidance strategy for moving agents
Author :
Kamkarian, Pejman ; Hexmoor, Henry
Author_Institution :
Electr. & Comput. Eng. Dept., Southern Illinois Univ., Carbondale, IL, USA
fYear :
2013
fDate :
8-11 Sept. 2013
Firstpage :
63
Lastpage :
67
Abstract :
This paper presents an approach for controlling collision avoidance among a group of moving multi-agents such that they are not able to communicate with each other and hence, cannot share information. The basics and key features of our collision control algorithm are discussed to include practical examinations. Our approach is based on multi-agent systems and help moving agents to pursue their goals using collision free routes. In terms of validating our solution, we plan to apply into a configuration set of agents located in our experimental space. We also explain our solution algorithm that we have developed, along with the examination that we subjected it to, as well as sketching some of the most important challenges that remain to be addresses in our future researches.
Keywords :
collision avoidance; mobile robots; multi-agent systems; multi-robot systems; collision avoidance control; collision control algorithm; collision free routes; human inspired collision avoidance strategy; moving multiagent systems; Collision avoidance; Mobile robots; Robot kinematics; Robot sensing systems; Spirals; Agents collision control; Agents decision making system; Intelligent agents; Moving agents; Multi-agents;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on
Conference_Location :
Krako??w
Type :
conf
Filename :
6643977
Link To Document :
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