ROBOT CONTROL BASED ON MEMBERSHIP AND VAGUENESS.

Kaoru Hirota; Yoshinori Arai; Witold Pedrycz

ROBOT CONTROL BASED ON MEMBERSHIP AND VAGUENESS.

Kaoru Hirota^*, Yoshinori Arai, Witold Pedrycz

^*Corresponding author for this work

Hosei University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-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 language	English
Title of host publication	Approximate Reasoning in Expert Syst
Publisher	North-Holland
Pages	621-635
Number of pages	15
ISBN (Print)	0444878084
Publication status	Published - 1985
Externally published	Yes

Cite this

Hirota, K., Arai, Y., & Pedrycz, W. (1985). ROBOT CONTROL BASED ON MEMBERSHIP AND VAGUENESS. In Approximate Reasoning in Expert Syst (pp. 621-635). North-Holland.

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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.",

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AU - Hirota, Kaoru

AU - Arai, Yoshinori

AU - Pedrycz, Witold

PY - 1985

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N2 - 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.

AB - 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.

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BT - Approximate Reasoning in Expert Syst

PB - North-Holland

ER -

ROBOT CONTROL BASED ON MEMBERSHIP AND VAGUENESS.

Abstract

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