Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-18T20:18:04.116Z Has data issue: false hasContentIssue false

Fuzzy navigation strategy: application to two distinct autonomous mobile robots

Published online by Cambridge University Press:  01 November 1997

Mahieddine Benreguieg
Affiliation:
CEMIF - Complex Systems Group - University of Evry, 40 rue du Pelvoux, 91020 Evry Cedex, France. E-mail: [email protected]
Philippe Hoppenot
Affiliation:
CEMIF - Complex Systems Group - University of Evry, 40 rue du Pelvoux, 91020 Evry Cedex, France. E-mail: [email protected]
Hichem Maaref
Affiliation:
CEMIF - Complex Systems Group - University of Evry, 40 rue du Pelvoux, 91020 Evry Cedex, France. E-mail: [email protected]
Etienne Colle
Affiliation:
CEMIF - Complex Systems Group - University of Evry, 40 rue du Pelvoux, 91020 Evry Cedex, France. E-mail: [email protected]
Claude Barret
Affiliation:
CEMIF - Complex Systems Group - University of Evry, 40 rue du Pelvoux, 91020 Evry Cedex, France. E-mail: [email protected]

Abstract

Most motion controls of mobile robots are based on the classical scheme of planning-navigation-piloting. The navigation function, the main part of which consists in obstacle avoidance, has to react with the shortest response time. The real-time constraint hardly limits the complexity of sensor data processing. The described navigator is built around fuzzy logic controllers. Besides the well-known possibility of taking into account human know-how, the approach provides several contributions: a low sensitivity to erroneous or inaccurate measures and, if the inputs of the controllers are normalised, an effective portability on various platform. To show these advantages, the same fuzzy navigator has been implemented on two mobile robots. Their mechanical structures are close, except for size and the sensing system.

Type
Research Article
Copyright
© 1997 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)