DECISION MAKING AT A LEVEL OF HIERARCHICAL CONTROL FOR UNMANNED ROBOT.

Can Isik, Alexander Meystel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

An intelligent mobile autonomous system, which is equipped with vision and low-level sensors to cope with unknown obstacles, is modeled as a hierarchy of decision-making for motion planning and control. The world description is based on linguistic variables whose value can be associated with a descriptive property for a certain interval. The decision-making is presented as a production system with a fuzzy database. The choice of optimal motion execution commands are performed using fuzzy set operators. Also included is the procedure of rule derivation and examples based on low-level motion control.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE Computer Society
Pages1772-1778
Number of pages7
ISBN (Print)0818606959
StatePublished - Jan 1 1986

ASJC Scopus subject areas

  • Engineering(all)

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