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Object recall using an experience database to accelerate robot action planning

  • University of York
  • Electronic Concepts and Engineering (United States)
  • Bristol Robotics Laboratory

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (ISBN)

Crynodeb

Robot interaction planning is a computationally expensive process which rarely makes use of previous experiences in a deliberative manner. This paper addresses this issue by examining dimensionality reduction techniques to allow comparison of objects in a robot's environment based on the way they react to robot manipulation. We compare a number of techniques which can map objects from an observation space, which may contain thousands of dimensions, to a lower dimensionality space - the embedding space - which allows objects to be compared in an efficient manner, making knowledge transfer between similar objects more computationally tractable.

Iaith wreiddiolSaesneg
TeitlIROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
CyhoeddwrInstitute of Electrical and Electronics Engineers
Tudalennau1566-1571
Nifer y tudalennau6
ISBN (Electronig)9781538626825
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 13 Rhag 2017
Digwyddiad2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canada
Hyd: 24 Medi 201728 Medi 2017

Cyfres gyhoeddiadau

EnwIEEE International Conference on Intelligent Robots and Systems
Cyfrol2017-September
ISSN (Argraffiad)2153-0858
ISSN (Electronig)2153-0866

Cynhadledd

Cynhadledd2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017
Gwlad/TiriogaethCanada
DinasVancouver
Cyfnod24 Medi 201728 Medi 2017

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