Adaptability enhancement of multiple robots in dynamical environment

Author

Sekiyama, Kosuke ; Fukuda, Toshio

Author_Institution

Dept. of Mechano-Inf. & Syst., Nagoya Univ., Japan

Volume

2

fYear

1995

fDate

21-27 May 1995

Firstpage

1656

Abstract

This paper describes a scheme to enhance adaptability of the multiple robot system using prediction results. The main purpose of this paper is attempt to construct a prediction model, which actively incorporates knowledge of the environment and reflects reasoning results of the conditionally dependent behavior pattern, not only based on the conventional statistical analysis. The presented method will meet the demand and contribute to more efficient decision making in the dynamical environment. Also, some remaining problems are mentioned finally

Keywords

inference mechanisms; intelligent control; knowledge based systems; mobile robots; probability; statistical analysis; time series; adaptability enhancement; conditionally dependent behavior pattern; conventional statistical analysis; decision making; dynamical environment; multiple robots; prediction model; reasoning; Data communication; Decision making; Hardware; Intelligent agent; Intelligent robots; Intelligent sensors; Predictive models; Robot kinematics; Statistical analysis; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on

Conference_Location

Nagoya

ISSN

1050-4729

Print_ISBN

0-7803-1965-6

Type

conf

DOI

10.1109/ROBOT.1995.525512

Filename

525512