Managing social constraints on recharge behaviour for robot companions using memory

Amol Deshmukh, Mei Yii Lim, Michael Kriegel, Ruth Aylett, Kyron D. Casse, L. Koay Kheng, Kerstin Dautenhahn

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

4 Citations (Scopus)

Abstract

In this paper, we present an approach to monitor human activities such as entry, exit and break times of people in a workplace environment. The companion robot then learns the users' presence patterns over a period of time through memory generalisation and plans a suitable time for recharging itself causing less hindrance to human-robot interaction.

Original languageEnglish
Title of host publicationHRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction
Pages129-130
Number of pages2
DOIs
Publication statusPublished - 2011
Event6th ACM/IEEE International Conference on Human-Robot Interaction - Lausanne, Switzerland
Duration: 6 Mar 20119 Mar 2011

Conference

Conference6th ACM/IEEE International Conference on Human-Robot Interaction
Abbreviated titleHRI 2011
CountrySwitzerland
CityLausanne
Period6/03/119/03/11

Keywords

  • Algorithms
  • Human factors

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  • Cite this

    Deshmukh, A., Yii Lim, M., Kriegel, M., Aylett, R., Casse, K. D., Koay Kheng, L., & Dautenhahn, K. (2011). Managing social constraints on recharge behaviour for robot companions using memory. In HRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction (pp. 129-130) https://doi.org/10.1145/1957656.1957695