抄録
In recent years, cooperative work using multiple robots, motion strategies were designed in advance to adapt to the environment. However, there is a problem in the fact that conventional method cannot function when encountering unexpected disturbance. In this research, we propose an environment adaptation algorithm based on the imitation of individuality and the maintain of diversity as human social perception. For each individual, a local evaluation is prepared and an operation strategy is designed. The local evaluation value changes according to the speed of each individual and the distance from the goal. Based on this value, personality imitation can be realized. In this paper, we introduced diversity maintenance by weights that change the degree of imitation, constructed a face-to-face traffic simulation, and examined its effectiveness. As a result, the usefulness could not be confirmed by the average number of collisions, but the improvement by the proposed method was confirmed in the total number of reached goals.
