Computational Intelligence for Cognitive Robotics

Abstract

The study on cognition, intelligence, consciousness, and self related with robots has a long history. Cognition is defined as the mental process of knowing, including aspects such as awareness, perception, reasoning, and judgment according to American Heritage Dictionary. The study on cognitive robotics deals with cognitive phenomena such as perception, attention, reasoning, planning, memory, and learning based on constructivism. Fuzzy Computing, neuro-computing, and evolutionary computation play the important role to realize cognitive development of robots from the methodological point of view. Nowadays, the synthesis of information technology, network technology, and robot technology may bring the brand-new emerging intelligence to robots from the technical point of view. Robot partners should have human-like intelligence and cognitive capabilities to co-exist, communicate, and interact with people. In this talk, first, we explain three research directions of cognitive robotics, (1) cognitive development, (2) behavior acquisition, and (3) social communication. Next, we show several research topics on cognitive robotics; behavior learning, locomotion learning, map building, and formation behaviors. We show different types of robot partners called iPhonoid and iPadrone interconnected with iOS devices for the research on social communication. Finally, we discuss the future direction of cognitive robotics based on informationally structured space.