Title
Learning Techniques in a Dataglove Based Telemanipulation System for the DLR Hand
Abstract
We present a setup to control a four-finger anthropomorphicrobot hand using a dataglove. To be able toaccurately use the dataglove we implemented a nonlinearlearning calibration using a novel neural networktechnique. Experiments show that a resulting positioningerror not exceeding 1.8mm, but typically 0.5mm,per finger can be obtained; this accuracy is sufficientlyprecise for grasping tasks. Based on the dataglove calibrationwe present a solution for the mapping of humanand artificial...
Year
DOI
Venue
1998
10.1109/ROBOT.1998.677377
ICRA
Keywords
Field
DocType
calibration,switches,artificial neural networks,telerobotics,robots,learning artificial intelligence,aerodynamics,neural network
Robot hand,Nonlinear system,Workspace,Simulation,Control engineering,Operator (computer programming),Engineering,Artificial neural network,Telerobotics,Calibration
Conference
Citations 
PageRank 
References 
42
4.43
3
Authors
3
Name
Order
Citations
PageRank
Max Fischer113822.34
P. Patrick Van Der Smagt227435.19
gerd hirzinger35185617.40