Personality driven task allocation for emotional robot team

摘要

The task allocation of emotional robots is a new and valuable issue. There are many allocation algorithms in the rational robot but only a few in the emotional robot. Emotional robots are neoteric and meaningful although it is complex. In this paper, we reference to the previous research, propose emotional robot pursuit problem, build a mathematical model of emotional stimulation base on personality in task allocation and use this model propose an emotional robot pursuit task allocation algorithm. Different from other algorithms, our algorithm allocate different personality pursuers through emotional change after stimulation by allocation. The experiments reflect the influence and the positive role of personality in allocation, also show the algorithm reduces the total pursuit time and avoids the worst case scenario. This algorithm not only solves the emotional robot pursuit problem base on personality, but also shorten and stabilize the total pursuit time