Abstract
Abstract This paper describes and evaluates the results of two algorithms for robotic grasp formulation on previously unseen 2-D thick laminae. Each algorithm determines the grasp specification from a binary image of the object to be grasped; one is an approach based on Powers’ Perceptual Control Theory and the other is based on hierarchical occupancy arrays. The experimental comparison of the two algorithms involves locating suitable grasps on objects that are difficult to grasp because of their geometry and because of variations in surface roughness and in product size and shape; they are trapezoidal portions of frozen fish coated in breadcrumbs, although for the purposes of this study artificial replica products were used. Grasp sites were located using the two different algorithms, and the quality of the grasps achieved was tested empirically using a ‘pick-up and shake’ routine on an Adept robot to simulate high speed manipulation in a production environment.
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