Towards Bayesian Grasp Optimization with Wrench Space Analysis

Abstract

This work exploits a sequential sampling strategy, where the results from previous trials convey information to guide the next samples. We show experimentally that, depending on object’s shape properties, sequential decision may reduce significantly the number of trials necessary to achieve quasi-optimal grasps with respect to random search.