Paper Info
Title
Knowledge-Based Autonomous Behavior Control of Robots in a Symbiotic Human-Robot System
Abstract
In order to implement autonomous behavior control of robots according to human requests in a complex symbiotic human-robot system, this paper proposes a novel knowledge-based intelligent control method. In this method, a knowledge model is first defined by means of frame-based knowledge representation. It contains various frames for describing different users, features of multiple robots as well as robot behaviors for human-robot communication and performing various tasks. According to this knowledge model, autonomous behavior control of robots in a symbiotic human- robot system can be implemented by means of a software platform, called Software Platform for Agents and Knowledge Management (SPAK). In this paper, the effectiveness of the proposed method is demonstrated by experiment using actual robots.
Year
DOI
Venue
2006
10.1109/ROBIO.2006.340315
ROBIO
Keywords
Field
DocType
man-machine systems,robots,intelligent control,knowledge-based intelligent control method,control engineering computing,knowledge management,knowledge-based autonomous behavior control,symbiotic human-robot system,frame based representation,autonomous behavior control,knowledge model,human-robot communication,frame-based knowledge representation,complex symbiotic human-robot system,software platform,knowledge base,knowledge representation
Intelligent control,Robot control,Knowledge representation and reasoning,AISoy1,Autonomous behavior,Control engineering,Software,Engineering,Robot,Human–robot interaction
Conference
ISBN
Citations 
PageRank 
1-4244-0571-8
2
0.41
References 
Authors
8
2
Name
Order
Citations
PageRank
Tao Zhang1422100.57
Haruki Ueno212918.02