Optimizing the Operational Time of Ambient Assisting Living Robots

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Georgios Keramidas - , Technological Educational Institute of Western Greece (Author)
  • Christos Antonopoulos - , Technological Educational Institute of Western Greece (Author)
  • Alexandros Spournias - , Technological Educational Institute of Western Greece (Author)
  • Nikolaos S Voros - , Technological Educational Institute of Western Greece (Author)
  • Fynn Schwiegelshohn - , Ruhr University Bochum (Author)
  • Diana Göhringer - , Chair of Adaptive Dynamic Systems (Author)
  • Evaggelinos Mariatos - , AVN Technologies (Author)

Abstract

In the context of H2020 RADIO project, a novel approach is proposed exploiting low power mobile robotic embedded systems toward enhancing quality of life of the elderly users in their domestic environments. Consequently, unobtrusiveness is of paramount importance. However, the utilization of state-of-the-art robotic platforms in real-life scenarios is undermined by limited autonomy and scarce battery capacity. This article presents a profile driver approach to minimize the usage of the excessively power consuming components, thus drastically extend the time duration the platform can operate without requiring recharging during the day. The proposed methodology takes as inputs: first, the daily activity patterns of the patient, second, information about the domestic environment, and third, the power profile of the platform and outputs the robot operational time.

Details

Original languageEnglish
Pages (from-to)97-104
Number of pages8
JournalIEEE Consumer Electronics Magazine
Volume9
Issue number3
Publication statusPublished - 2020
Peer-reviewedYes

External IDs

ORCID /0000-0003-2571-8441/work/142240466
Scopus 85083197954

Keywords