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 -