Compliant gripper design, prototyping, and modeling using screw theory formulation

Author:

Hussain Irfan12ORCID,Malvezzi Monica3,Gan Dongming1ORCID,Iqbal Zubair3,Seneviratne Lakmal1,Prattichizzo Domenico34,Renda Federico12ORCID

Affiliation:

1. Khalifa University Center for Autonomous Robotic Systems (KUCARS), Khalifa University of Science and Technology, Abu Dhabi, UAE

2. Department of Mechanical Engineering, Khalifa University of Science and Technology, Abu Dhabi, UAE

3. Università degli Studi Siena, Department of Information Engineering, Siena, Italy

4. Istituto Italiano di Tecnologia, Genoa, Italy

Abstract

This article investigates some aspects related to the design, modeling, prototyping, and testing of soft–rigid tendon-driven grippers. As a case study, we present the design and development of a two-finger soft gripper and exploit it as an example to demonstrate the application scenario of our mathematical model based on screw theory. A mathematical formulation based on screw theory is then presented to model gripper dynamics. The proposed formulation is the extension of a model previously introduced including the mechanical system dynamics. In this type of gripper, it is possible to achieve different behaviors, e.g., different fingertip trajectories, equivalent fingertip stiffness ellipsoids, etc., while keeping the same kinematic structure of the gripper and varying the properties of its passive deformable joints. These properties can be varied in the prototype by properly regulating some manufacturing parameters, such as percentage of printing infill density in a 3D printing process. We performed experiments with the prototype of the gripper and an optical tracking system to validate the proposed mathematical formulation, and to compare its results with other simplified formulations. We furthermore identified the main performance of the gripper in terms of payload and maximum horizontal resisted force, and verified the capabilities of the gripper to grasp objects with different shapes and weights.

Funder

Khalifa University of Science, Technology and Research

Publisher

SAGE Publications

Subject

Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modeling and Simulation,Software

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