Abstract
In this paper we present a multi-modal bin-picking system, which combines visual and tactile data to grip parts reliable. To achieve this, both a suction cup and a magnet gripper of a commercially-available bin picking system have been equipped with a tactile sensor array. We will demonstrate how the multi-modal concept can be utilized for reliable grip monitoring in bin-picking. In combination with the visual data, we show how the tactile modality offers new opportunities relating to collision detection, part loss and verification of intended grip.