"493","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.","http://cogprints.org/493/","Smagt, P. van der and Groen, F.","Omidvar, O. and Smagt"," Smagt, P. van der and Groen, F. (1997) Visual feedback in motion. [Book Chapter] ","","1997"