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