Journal article Open Access

DSmT Decision-Making Algorithms for Finding Grasping Configurations of Robot Dexterous Hands

Ionel-Alexandru Gal; Danut Bucur; Luige Vladareanu

In this paper, we present a deciding technique for robotic dexterous hand configurations. This algorithm can be used to decide on how to configure a robotic hand so it can grasp objects in different scenarios. Receiving as input, several sensor signals that provide information on the object’s shape, the DSmT decision-making algorithm passes the information through several steps before deciding what hand configuration should be used for a certain object and task.

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