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Learning Capability of a Steward Robot for Proactive Services in Smart House Environment
BibTeX
@MISC{_learningcapability,
author = {},
title = {Learning Capability of a Steward Robot for Proactive Services in Smart House Environment},
year = {}
}
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Abstract
Abstract — Independence of the people in need in their living environment becomes an imperative notion for any society in the years to come. As an approach to achieve independence, this paper addresses the problem of controlling an assistive home environment emphasizing a human-friendly man-machine interaction. We introduce a new service robot which can be categorized as a steward robot. As an intermediate agent between inhabitants and a complex smart house environment, this robot can provide the users with easily accessible, convenient, and cost effective environment for independent living. The learning capability of the robot can enhance human-friendliness in various tasks. A learning system can provide personalized services by accumulating knowledge of the behavior patterns of the user in daily activities. To deal with uncertainty of the human behavior patterns, we propose an iterative fuzzy clustering algorithm which incorporates a supervising scheme into an unsupervised fuzzy clustering process. Index Terms — Steward robot, smart house, human-robot interaction, learning of behavior patterns, iterative fuzzy clustering
Keyphrases
steward robot proactive service smart house environment behavior pattern human-friendly man-machine interaction iterative fuzzy clustering independent living unsupervised fuzzy assistive home environment iterative fuzzy cost effective environment supervising scheme new service robot imperative notion abstract independence daily activity various task smart house complex smart house environment human-robot interaction index term steward robot learning system intermediate agent living environment human behavior pattern learning capability
