Sensorimotor coordination and sensor fusion by neural networks
Guo-Qing Wei, G. Hirzinger, B. Brunner
- Year
- 2002
- Citations
- 18
Abstract
A neural network method to solve the motion determination problem for robot end-effector motion without any calibration is presented. Two kinds of sensory data, i.e., camera images and laser ranges, are used as the input to a multilayer forward network in order to associate the direct transformation from the sensory data to the required motions. This provides a practical sensor fusion method. Using a recursive motion strategy, the requirement for the exactness of the learned transformation is relaxed. Experimental results verify the method.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Keywords
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