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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">&gt;</ETX>

Keywords

Motion (physics)Transformation (genetics)Computer scienceArtificial intelligenceComputer visionArtificial neural networkSensor fusionRobotSensory systemCalibration

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