• 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