Profile-Driven Power Optimizations for AAL Robots: Maximizing Robots Idle Time by Offloading Monitoring Workload to Dedicated Hardware Components

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Georgios Keramidas - , Technological Educational Institute of Western Greece (Author)
  • Nikolaos Voros - , Technological Educational Institute of Western Greece (Author)
  • Christos Antonopoulos - , Technological Educational Institute of Western Greece (Author)
  • Fynn Schwiegelshohn - , Ruhr University Bochum (Author)
  • Philipp Wehner - , Ruhr University Bochum (Author)
  • Diana Göhringer - , Ruhr University Bochum (Author)
  • Evaggelinos Mariatos - , AVN Technologies (Author)

Abstract

The EU funded project RADIO brings forward a new health care paradigm according to which a mobile robot platform can act as assistant to an elderly person in his/her domestic environment. Under this context, unobtrusiveness is of paramount importance since the robot should be a natural participant of patients' daily life. However, robot assistance in everyday living still suffers from limited autonomy dictaded by the robot battery. This paper presents the approach taken in the project in order to reduce, to the extent possible, the usage of the power-hungry processing components. This minimizes the need for revisiting the robot charging station during the day, by using hardware accelerated ultra-low-power monitoring during the periods of inactivity.

Details

Original languageEnglish
Title of host publication2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
EditorsRicardo Reis, Mircea Stan, Michael Huebner, Nikolaos Voros
PublisherIEEE Computer Society
Pages374-378
Number of pages5
ISBN (electronic)9781509067626
Publication statusPublished - 20 Jul 2017
Peer-reviewedYes
Externally publishedYes

Publication series

SeriesIEEE Computer Society Annual Symposium on VLSI
ISSN2159-3477

Conference

Title2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
Duration3 - 5 July 2017
CityBochum, North Rhine-Westfalia
CountryGermany

External IDs

ORCID /0000-0003-2571-8441/work/159607544

Keywords

Keywords

  • Ambient Assisted Living, Hardware Acceleration, Low Power, Monitoring, Robot

Library keywords