%A P. van der Smagt %A F. Groen %J Neural Systems for Robotics %T Visual feedback in motion %X 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. %P 37-73 %E O. and Smagt Omidvar %D 1997 %I Academic Press, Boston, Massachusetts %L cogprints493