University of Hertfordshire

By the same authors

Initial Design, Implementation and Technical Evaluation of a Context-aware Proxemics Planner for a Social Robot

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

Documents

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Original languageEnglish
Title of host publicationSocial Robotics - 9th International Conference, ICSR 2017, Proceedings
PublisherSpringer International Publishing
Pages12-22
Number of pages11
Volume10652 LNAI
ISBN (Electronic)978-3-319-70022-9
ISBN (Print)9783319700212
DOIs
Publication statusE-pub ahead of print - 24 Oct 2017
Event9th International Conference on Social Robotics, ICSR 2017 - Tsukuba, Japan
Duration: 22 Nov 201724 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10652 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Social Robotics, ICSR 2017
CountryJapan
CityTsukuba
Period22/11/1724/11/17

Abstract

Home Companion Robots need to be able to support users in their daily living activities and to be socially adaptive. They should take account of users’ individual preferences, environments and social situations in order to behave in a socially acceptable manner and to gain acceptance into the household. They will need to be context-aware, taking account of any relevant contextual information and improve on delivering services by adapting to users’ requirements. We present the design, implementation and technical evaluation of a Context-aware Proxemics Planner which aims to improve a robots’ social behaviour by adapting its distances and orientation to the user in terms of interpersonal space, based on contextual information regarding the task, user and the robot.

Notes

This document is the Accepted Manuscript version of a paper presented at the 9th International Conference on Social Robotics, ICSR 2017, Tsukuba, Japan. Under embargo until 24 October 2018. The final publication is available at Springer via: https://doi.org/10.1007/978-3-319-70022-9_2

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