Emergence of robotic intelligence by chaos for catching fish

In this paper we tackle a fish-catching task under a visual feedback hand-eye robotic system with a catching net. Taken into consideration of emotional aspect, the fish can suddenly change its escaping trajectory or speed up when being threatened as the net attached at hand approaches to it. 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 motion into the net motion to realize a kind of robotic intelligence, and we have shown the chaotic net motion can overcome the fish escaping strategies.