DocumentCode :
123346
Title :
A multi-agent hybrid cognitive architecture with self-awareness for homecare robot
Author :
Yu Du ; De Silva, Clarence W. ; Dong Liu
Author_Institution :
Dept. of Mech. Eng., Univ. of British Columbia, Vancouver, BC, Canada
fYear :
2014
fDate :
22-24 Aug. 2014
Firstpage :
223
Lastpage :
228
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.
Keywords :
learning (artificial intelligence); medical robotics; multi-robot systems; patient care; service robots; anthropomorphic multi-agent hybrid architecture; decision making algorithm; homecare robot; learning method; multi-agent hybrid cognitive architecture; multi-agent self-awareness; robot data base; robot knowledge; robot memory; Computers; Erbium; Memory architecture; Navigation; Robots; homecare robot; multi-agent architecture; robotic decision making; robotic learning; self-awareness model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
Type :
conf
DOI :
10.1109/ICCSE.2014.6926458
Filename :
6926458
Link To Document :
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