Abstract
While industrial robots typically perform pre-programmed and routine manufacturing jobs for humans, intelligent service robots serve and interact with people intelligently with its own perception and cognition of external circumstance. As an intelligent system, intelligent service robots are also characterized by the ability to evolve and learn to increase their performance over time. Recently intelligent service robots have received great attention as one of the next-generation growth engine in many countries including Korea. In this presentation, I introduce the research activities on intelligent service robots in Korea and then provide an agent-based approach to the integration of various distributed functionalities to overcome the inherent complexity of intelligent service robots in dynamic environments.
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