Fast learning mapping schemes for robotic hand-eye coordination

Martin Siegfried Hülse, Sebastian Daryl McBride, Mark Howard Lee

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

18 Dyfyniadau(SciVal)
184 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

In aiming for advanced robotic systems that autonomously and permanently readapt to changing and uncertain environments,we introduce a scheme of fast learning and readaptation of robotic sensorimotor mappings based on biological mechanisms underpinning the development and maintenance of accurate human reaching. The study presents a range of experiments, using two distinct computational architectures, on both learning and realignment of robotic hand-eye coordination. Analysis of the results provide insights into the putative parameters and mechanisms required for fast readaptation and generalization from both a robotic and biological perspective.
Iaith wreiddiolSaesneg
Tudalennau (o-i)1 - 16
Nifer y tudalennau16
CyfnodolynCognitive Computation
Cyfrol2
Rhif cyhoeddi1
Dyddiad ar-lein cynnar11 Rhag 2009
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - Maw 2010

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