Visual Servoing in Presence of Non-Rigid Motion

Most robotic vision algorithms have been proposed by envisaging robots operating in industrial environments, where the world is assumed to be static and rigid. These algorithms cannot be used in environments where the assumption of a rigid world does not hold. In this paper, we study the problem of visual servoing in presence of non-rigid objects and analyze the design of servoing strategies needed to perform optimally even in unconventional environments. We also propose a servoing algorithm that is robust to non-rigidity. The algorithm extracts invariant features of the non-rigid object and uses these features in the servoing process. We validate the technique with experiments and demonstrate the applicability