Towards robust grasping: An analysis of in-hand object motion with FBG fibers as force

To enable or allow for advanced manipulation scenarios in the envisaged future in robotic manipulation, the introduction of tactile or force-sensing technology is essential. This work introduces a study on a novel integration of fiber sensing elements inside the fingers of robotics grippers that allow obtaining accurate interaction forces during object manipulation. The study focuses on in-hand object motion and analyzes the objects' dynamic behaviors during grasping or contact phases. The proposed approach classifies the behavior of the gripper-object interaction in real-time by looking at the measured forces in the orthogonal direction of the gripper's fingers after a filtering stage. The methodology is validated theoretically and evaluated with real experiments using objects presenting different shapes, sizes, and surface properties.