Integrating fuzzy logic and neural networks in the design of navigation competencies of an autonomous mobile robot

• Type: Article in International Conference Proceedings Book
• Date: 1999

Authors

neves, mc (Author) Other; oliveira, e (Author) FEUP

Conference proceedings International

Title: COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - EVOLUTIONARY COMPUTATION & FUZZY LOGIC FOR INTELLIGENT CONTROL, KNOWLEDGE ACQUISITION & INFORMATION RETRIEVAL

Pages: 178-183

International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 99)

VIENNA, AUSTRIA, FEB 17-19, 1999

Indexing

ISI Web of Knowledge - 0 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-001-5FV

Abstract (EN): A real autonomous mobile robot should be able to deal with a wide range of tasks and environments and to evolve through the acquisition and adaptation of its own navigation competencies. This is our major concern in the development of ARCoS, an Autonomous mobile Robot Control System, whose main purpose is to transform a mobile robot platform in an autonomous mobile robot. In this paper we are going to focus on the agents' architecture, which are responsible for those navigation competencies. Through the integration of a fuzzy control system together with a neural network, we allow an autonomous mobile robot to acquire as well as to adapt, in a simple way, the needed navigation competencies to perform more complex navigation tasks. These more sophisticated tasks involve the integration and co-operation of several different agents that are responsible for elementary navigation competencies.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6