Conference item icon

Conference item

Enabling intelligent energy management for robots using publicly available maps

Abstract:

Energy consumption represents one of the most basic constraints for mobile robot autonomy. We propose a new framework to predict energy consumption using information extracted from publicly available maps. This method avoids having to model internal robot configurations, which are often unavailable, while still providing invaluable predictions for both explored and unexplored trajectories. Our approach uses a heteroscedastic Gaussian Process to model the power consumption, which explicitly ac...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

Actions


Access Document


Files:
Publisher copy:
10.1109/IROS.2016.7759348

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Pages:
2224-2229
Publication date:
2016-12-01
Acceptance date:
2016-07-01
DOI:
EISSN:
2153-0866
ISSN:
2153-0858
Pubs id:
pubs:668154
URN:
uri:e10e9d1e-ae37-47fc-aa39-fe43f9e75a86
UUID:
uuid:e10e9d1e-ae37-47fc-aa39-fe43f9e75a86
Local pid:
pubs:668154
ISBN:
9781509037629

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP