INDEX Gripper: Industrial Dexterous Robotic Gripper Capable of All-Orientational Object Manipulation

To advance research and industrial applications of robotic systems, enhancing object manipulation capabilities is crucial. This study introduces the INDEX gripper, an industrial dexterous robotic gripper designed to efficiently grasp objects of various shapes and precisely manipulate their orientations. The gripper features a 3-finger, 9-degree-of-freedom (DOF) linkage-driven mechanism. Its kinematic structure incorporates four four-bar linkages, enabling active 3-DOF motion for each finger. Developed through kinematic analysis, the INDEX gripper is capable of performing multiple grasping postures and accurately manipulating objects in all orientations within its grasp. Experimental results demonstrated a maximum fingertip force of 40.6 N, a payload capacity of 12.2 kg, and a repeatability error of less than 0.0244 mm. The gripper successfully grasped 15 objects of different shapes and manipulated a spherical object by 27.6<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula> along the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</i>-axis, 34.2<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula> along the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">y</i>-axis, and 98.3<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula> along the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">z</i>-axis. In addition, the gripper was tested in two industrial tasks: installing a light bulb and performing a bolting process using a driver. These tasks validated the gripper's effectiveness and reliability in industrial applications.

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Institutions

Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2024-11-20
DOI
https://doi.org/10.1109/tmech.2024.3488817
Citations
7
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
2.30

Funders

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article

INDEX Gripper: Industrial Dexterous Robotic Gripper Capable of All-Orientational Object Manipulation

Yooseong Lee, Uikyum Kim, Joon-Ho Lee, Dong Il Park et al.
7 citations
IEEE/ASME Transactions on Mechatronics
Robot Manipulation and Learning
2.30
article

INDEX Gripper: Industrial Dexterous Robotic Gripper Capable of All-Orientational Object Manipulation

Yooseong Lee, Uikyum Kim, Joon-Ho Lee, Dong Il Park, Dawoon Jung
article en
7 citations

Abstract

To advance research and industrial applications of robotic systems, enhancing object manipulation capabilities is crucial. This study introduces the INDEX gripper, an industrial dexterous robotic gripper designed to efficiently grasp objects of various shapes and precisely manipulate their orientations. The gripper features a 3-finger, 9-degree-of-freedom (DOF) linkage-driven mechanism. Its kinematic structure incorporates four four-bar linkages, enabling active 3-DOF motion for each finger. Developed through kinematic analysis, the INDEX gripper is capable of performing multiple grasping postures and accurately manipulating objects in all orientations within its grasp. Experimental results demonstrated a maximum fingertip force of 40.6 N, a payload capacity of 12.2 kg, and a repeatability error of less than 0.0244 mm. The gripper successfully grasped 15 objects of different shapes and manipulated a spherical object by 27.6<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula> along the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</i>-axis, 34.2<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula> along the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">y</i>-axis, and 98.3<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula> along the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">z</i>-axis. In addition, the gripper was tested in two industrial tasks: installing a light bulb and performing a bolting process using a driver. These tasks validated the gripper's effectiveness and reliability in industrial applications.

IEEE/ASME Transactions on MechatronicsVol. 30(5)
Korea Institute of Machinery & Materials (KR), Ajou University (KR)
National Research Foundation of Korea
Decent work and economic growth
Openalex Percentile: Top 11%
Robot Manipulation and Learning
2.30
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