Intelligence comparison between fish and robot using chaos and random

In this paper we tackle a Fish-Catching task under a visual feedback hand-eye robotic system with a catching net. As the time of tracking and catching process flows, the fish can somewhat get accustomed to the net motion pattern and gradually find out new strategies on how to escape from the bothering net. For the sake of such innate ability being widely existed in animal behavior, the catching operation becomes tough and some effective intelligent method needs to be conceived to go beyond the fish intelligence. The purpose of this paper is to construct intelligent system to be able to exceed the fish intelligence in order to track and catch the fish successfully. Then we embed chaotic and random motion into the net motion to realize a kind of robotic intelligence, and we shown the chaotic and random net motion is effective to overcome the fish escaping strategies. The effectiveness of the chaotic and random motion is confirmed through successive fish catching experiment.