Developing a healthcare robot with personalized behaviors and social skills for the elderly

Roxana M. Agrigoroaie, Adriana Tapus

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

My PhD research aims to develop a general framework for a behavior control architecture that will provide customized interaction between the robot and an elderly individual suffering from mild cognitive impairment (MCI). This framework will enable the robot to learn from past events and to adapt its behavior to the specific needs of the person that it interacts with. For this purpose, models will be created for both verbal and non-verbal communication. The user profile (e.g., personality, cognitive disability level, emotional internal states, preferences) will provide the input based on which the robot will adapt its behavior.

Original languageEnglish
Title of host publicationHRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction
PublisherIEEE Computer Society
Pages589-590
Number of pages2
ISBN (Electronic)9781467383707
DOIs
Publication statusPublished - 12 Apr 2016
Externally publishedYes
Event11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016 - Christchurch, New Zealand
Duration: 7 Mar 201610 Mar 2016

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2016-April
ISSN (Electronic)2167-2148

Conference

Conference11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016
Country/TerritoryNew Zealand
CityChristchurch
Period7/03/1610/03/16

Keywords

  • Adaptation
  • Episodic memory
  • Human-robot interaction
  • Learning

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