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In this research a new algorithm for dynamic collaborative path prediction for mobile agents is proposed. This algorithm is inspired by human behavior in group of dynamical obstacles. Mobile agent in collaborative manner uses coordinates of other mobile agents in the same environment to calculate and based on statistical methods predict future path of other objects. For this purpose spatial-temporal variables are decomposed in order to optimize the method and to make it more efficient. This algorithm can be used in mobile robotics, automobile industry and civil aeronautics. Moreover this method allows full decentralization of collision detection which allows many advantages from minimizing of network traffic to simplifying of inclusion of additional agents in relevant space. This algorithm in his implementation will be low resource consuming allowing mobile agents to free resources for additional tasks.
Date of Conference: 6-9 Dec. 2011