English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/30238
Share/Impact:
Statistics
logo share SHARE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Neuroadaptive robots

AuthorsTorras, Carme
KeywordsAutomation: Robots
Robots
Robotics
Issue Date2000
PublisherInstitute of Electrical and Electronics Engineers
Citation15th International Conference on Pattern Recognition: 172-177 (2000)
AbstractThe limited adaptivity of current robots is preventing their widespread application. However, nowadays there are mature techniques available to palliate this deficiency. After briefly surveying the several levels of adaptivity required and the disciplines addressing each of them, the paper concentrates on the contributions of the field of neural networks to improve sensorimotor adaptivity. Since sensorimotor mappings lie at the base of all robot activity, making them adaptable to the robot conditions (e.g., tear-and-wear) and environmental variations greatly widens the range of applications. Several experimental systems are described which rely on the following adaptive mappings: inverse kinematics, inverse dynamics, visuomotor and force-control mappings. Finally, some methodologic and computational issues are discussed.
DescriptionInternational Conference on Pattern Recognition (ICPR), 2000, Barcelona (España)
URIhttp://hdl.handle.net/10261/30238
DOIhttp://dx.doi.org/10.1109/ICPR.2000.906042
ISBN0769507506
Appears in Collections:(IRII) Comunicaciones congresos
Files in This Item:
File Description SizeFormat 
doc1.pdf125,84 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.