A Systematic Approach to Stable Grasping of a Two-Finger Robotic Hand Activated by Jamming of Granular Media

Author:

Fakhri Osamah1ORCID,Youssef George2,Nacy Somer12,Jameel Al-Tamimi Adnan Naji3,Hussein O.1,Abbood Wisam T.1ORCID,Abdullah Oday Ibraheem456ORCID,AL-Karkhi Nazar Kais1ORCID

Affiliation:

1. Alkhwarzmi College of Engineering, University of Baghdad, Baghdad 10071, Iraq

2. Mechanical Engineering Department, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182, USA

3. College of Technical Engineering, Al-Farahidi University, Baghdad 10001, Iraq

4. Energy Engineering Department, College of Engineering, University of Baghdad, Baghdad 10071, Iraq

5. Mechanical Engineering Department, College of Engineering, Gulf University, Sanad 26489, Bahrain

6. Institute of Laser and Systems Technologies (iLAS), Hamburg University of Technology (TUHH), Harburger Schloßstraße 28, 21079 Hamburg, Germany

Abstract

A systematic approach is presented to achieve the stable grasping of objects through a two-finger robotic hand, in which each finger cavity was filled with granular media. The compaction of the latter, controlled by vacuum pressure, was used to adjust the structural and contact stiffness of the finger. The grasping stability was studied under the concurrent effect of an external torque and applied vacuum pressure. Stable grasping was defined as the no slippage condition between the grasped object and the two fingers. Three control schemes were adopted and applied experimentally to ensure the effectiveness of the grasping process. The results showed that stable and unstable grasping regions exist for each combination of applied torque and vacuum pressure. The two-finger robotic hands can be further improved for applications that require high load-carrying capabilities.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference37 articles.

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3. A Novel Approach to Control the Robotic Hand Grasping Process by Using an Artificial Neural Network Algorithm;Nacy;J. Intell. Syst.,2017

4. Modelling and Simulation of a Manipulator with Stable Viscoelastic Grasping Incorporating Friction;Khurshid;Tribol. Ind.,2016

5. Alspach, A., Kim, J., and Yamane, K. (2018, January 24–28). Design and Fabrication of a Soft Robotic Hand and Arm System. Proceedings of the IEEE International Conference on Soft Robotics (RoboSoft), Livorno, Italy.

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