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

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

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

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

OriginalspracheEnglisch
Titel2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
Redakteure/-innenRicardo Reis, Mircea Stan, Michael Huebner, Nikolaos Voros
Herausgeber (Verlag)IEEE Computer Society
Seiten374-378
Seitenumfang5
ISBN (elektronisch)9781509067626
PublikationsstatusVeröffentlicht - 20 Juli 2017
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheIEEE Computer Society Annual Symposium on VLSI
ISSN2159-3477

Konferenz

Titel2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017
Dauer3 - 5 Juli 2017
StadtBochum, North Rhine-Westfalia
LandDeutschland

Externe IDs

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

Schlagworte

Schlagwörter

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

Bibliotheksschlagworte