Automatic Color Detection for MiroSOT Using Quantum-Inspired Evolutionary Algorithm

In a MiroSOT robot soccer program, operators manually adjust color setting using global vision system for detecting objects such as robots and a ball. It is a cumbersome and time-consuming operation before the game. Since spectators may make shadows and illumination changes on the pitch, it becomes more difficult to detect colors of the objects. For the convenience of operators, automatic color setting algorithm is needed. In this paper, an automatic color detection algorithm is proposed, in which quantum-inspired evolutionary algorithm is used. The effectiveness of the proposed algorithm is successfully demonstrated in the real robot soccer pitch with five MiroSOT soccer robots.