Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

37

IROS
2007
IEEE

favoriteEmaildiscussreport

157views Robotics» more IROS 2007»

A learning framework for generic sensory-motor maps

14 years 5 months ago

A learning framework for generic sensory-motor maps

Download www.isr.ist.utl.pt

— We present a new approach to cope with unknown redundant systems. For this we present i) an online algorithm that learns general input-output restrictions and, ii) a method that, given a partial set of input-output variables, provides an estimate of the remaining ones, using the learned restrictions. We show applications of the algorithm using examples of direct and inverse robot kinematics.

Manuel Lopes, Bruno D. Damas

Real-time Traffic

General Input-output Restrictions | Inverse Robot Kinematics | IROS 2007 | Robotics | Unknown Redundant Systems |

claim paper

Related Content

» Visual transformations in gesture imitation what you see is what you do

» Embedding SelfManagement and Generic Learning Support into Courseware Structures

» From Learning Models of Natural Image Patches to Whole Image Restoration

» Facilitating Virtual Representation of CAD Data Through A Learning Based Approach to Conce...

» NPIC Hierarchical Synthetic Image Classification Using Image Search and Generic Features

» Likelihood Map Fusion for Visual Object Tracking

» Lessons Learned from CrossValidating Alignments between Large Anatomical Ontologies

» A comprehensive solution to the XMLtorelational mapping problem

» Data Fusion through Crossmodality Metric Learning using SimilaritySensitive Hashing

Post Info
More Details (n/a)

Added	03 Jun 2010
Updated	03 Jun 2010
Type	Conference
Year	2007
Where	IROS
Authors	Manuel Lopes, Bruno D. Damas

Comments (0)