Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
Analyzing Task Morphologies for Naturalistic Task Sharing between Human Operator and Robot
Yukio HORIGUCHITetsuo SAWARAGI
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2000 Volume 13 Issue 12 Pages 537-544

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Abstract

This paper presents a method for detecting invariant task structures that are commonly shared by the human operator and the autonomous robot in a VR-based (i.e., virtual reality based) mobile robot teleoperation system. We call such a property of having common structures as task-morphology, and we discuss how this property functions well to establish the naturalistic task sharing between the two who have different perception-acting capabilities. For this purpose, we analyze their continuous task performance and segment them into some qualitatively different phases using Adaptive Resonance Theory (ART).

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