Derivation of optimal robust grasping strategy under initial object pose errors

In a robotic cell, an assembly robot has to grasp various parts robustly even under some uncertainties in their initial poses. For this purpose, it is necessary to design robust grasping strategies for robotic hands. In this paper, we propose a method to derive an optimal robust grasping strategy from a given initial pose error region of a target object. Based on the pushing operation analysis, it is possible to simulate multi-fingered hand grasping and derive a permissible initial pose error region of a target object from which planned grasping is successful. Adopting an active search algorithm proposed by the authors, we can find the optimal grasping strategy efficiently. As an example, we derive the optimal grasping strategy for grasping a circular object by a three-fingered hand.