ROBOT CONTROL BASED ON MEMBERSHIP AND VAGUENESS.

Kaoru Hirota*, Yoshinori Arai, Witold Pedrycz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

17 Citations (Scopus)

Abstract

Human-like control method of an industrial arm-robot with five joints is presented. The main idea is based on the concept of probabilistic sets in extended fuzzy expression. Ambiguous instructions in terms of membership and vagueness are given to the robot. These instructions are divided into several classes such as direction, distance, catch and put. The robot is able to recognize these instructions and select an appropriate movement according to each situation. Basic concept and algorithms are shown with illustrations and experimental results.

Original languageEnglish
Title of host publicationApproximate Reasoning in Expert Syst
PublisherNorth-Holland
Pages621-635
Number of pages15
ISBN (Print)0444878084
Publication statusPublished - 1985
Externally publishedYes

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