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/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
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
Originalsprache | Englisch |
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Titel | 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017 |
Redakteure/-innen | Ricardo Reis, Mircea Stan, Michael Huebner, Nikolaos Voros |
Herausgeber (Verlag) | IEEE Computer Society |
Seiten | 374-378 |
Seitenumfang | 5 |
ISBN (elektronisch) | 9781509067626 |
Publikationsstatus | Veröffentlicht - 20 Juli 2017 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Publikationsreihe
Reihe | IEEE Computer Society Annual Symposium on VLSI |
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ISSN | 2159-3477 |
Konferenz
Titel | 2017 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2017 |
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Dauer | 3 - 5 Juli 2017 |
Stadt | Bochum, North Rhine-Westfalia |
Land | Deutschland |
Externe IDs
ORCID | /0000-0003-2571-8441/work/159607544 |
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Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Ambient Assisted Living, Hardware Acceleration, Low Power, Monitoring, Robot