Vision-based adaptive and interactive behaviors in mechanical animals using the remote-brained approach

We present a variety of vision-based adaptive and interactive behaviors in mechanical animals. The mechanical animal is a multi-legged robot designed as a remote-brained robots which does not bring its own brain within the body. It leaves the brain in the mother environment and talks with it by radio links. The brain is raised in the mother environment inherited over generations. The key idea of the remote-brained approach is that of interfacing intelligent software systems with real robot bodies through wireless technology. In this framework the robot system can have a powerful vision system in the brain environment. We have applied this approach toward formation of vision-based dynamic and intelligent behaviors of mechanical animals such as doglike robots and apelike robots. In this paper we introduce the remote-brained approach and describe some remote-brained robots and visual processes for adaptive and interactive behaviors with them