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Indexed by:会议论文

Date of Publication:2014-08-22

Included Journals:EI、CPCI-S、Scopus

Page Number:223-228

Key Words:homecare robot; multi-agent architecture; self-awareness model; robotic learning; robotic decision making

Abstract:This paper presents a novel anthropomorphic multi-agent hybrid architecture with abilities of self-awareness and cognitive control for homecare robots. The paper presents the details of the robot memory (knowledge/data base), self-awareness model, learning method for weight updating, and the decision making algorithm. The developed architecture will facilitate a robot to adapt to an uncertain and dynamic home environment and improve its intelligence, reliability and flexibility for effectively performing homecare tasks.