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"Visual feedback in motion"^^ .
"In this chapter we introduce a method for model-free monocular visual guidance of a robot arm. The robot arm, with a single camera in its end effector, should be positioned above a stationary target. It is shown that a trajectory can be planned in visual space by using components of the optic flow, and this trajector can be translated to joint torques by a self-learning neural network. No model of the robot, camera, or environment is used. The method reaches a high grasping accuracy after only a few trials."^^ .
"1997" .
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"Academic Press, Boston, Massachusetts"^^ .
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"Neural Systems for Robotics"^^ .
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"O. and Smagt"^^ .
"Omidvar"^^ .
"O. and Smagt Omidvar"^^ .
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"P. van der"^^ .
"Smagt"^^ .
"P. van der Smagt"^^ .
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"F."^^ .
"Groen"^^ .
"F. Groen"^^ .
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"Visual feedback in motion (Postscript)"^^ .
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"SmaGro97.ps"^^ .
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"HTML Summary of #493 \n\nVisual feedback in motion\n\n" .
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"Animal Cognition" .
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"Machine Vision" .
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"Neural Nets" .
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"Robotics" .
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