Abstract | ||
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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 Fischer | 1 | 138 | 22.34 |
P. Patrick Van Der Smagt | 2 | 274 | 35.19 |
gerd hirzinger | 3 | 5185 | 617.40 |