TY  - GEN
ID  - cogprints493
UR  - http://cogprints.org/493/
A1  - Smagt, P. van der
A1  - Groen, F.
Y1  - 1997///
N2  - 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.
PB  - Academic Press, Boston, Massachusetts
TI  - Visual feedback in motion
SP  - 37
AV  - public
EP  - 73
ER  -

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