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.
|Pages (from-to)||1 - 16|
|Number of pages||16|
|Early online date||11 Dec 2009|
|Publication status||Published - Mar 2010|
- Hand–eye coordination