Grasp Control for Enhancing Dexterity of Parallel Grippers

Marco Costanzo1, Giuseppe De Maria2, Gaetano Lettera2, Ciro Natale3

  • 1Università degli Studi della Campania “Luigi Vanvitelli”
  • 2Università degli Studi della Campania Luigi Vanvitelli
  • 3Università degli Studi della Campania "Luigi Vanvitelli"

Details

09:30 - 09:45 | Mon 1 Jun | Room T13 | MoA13.2

Session: Grasping I

Abstract

A robust grasp controller for both slipping avoidance and controlled sliding is proposed based on force/tactile feedback only. The model-based algorithm exploits a modified LuGre friction model to consider both translational and rotational frictional sliding motions. The modification relies on the Limit Surface concept where a novel computationally efficient method is introduced to compute in real-time the minimum grasping force to balance tangential and torsional loads. The two control modalities are considered by the robot motion planning algorithm that automatically generates robot motions and gripper commands to solve complex manipulation tasks in a material handling application.