Title :
Adaptability enhancement of multiple robots in dynamical environment
Author :
Sekiyama, Kosuke ; Fukuda, Toshio
Author_Institution :
Dept. of Mechano-Inf. & Syst., Nagoya Univ., Japan
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;
Conference_Titel :
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-1965-6
DOI :
10.1109/ROBOT.1995.525512