MOGrip: Gripper for Multi-Object Grasping in Pick-and-Place Tasks Using Translational Movements of Fingers

Jaemin Eom1, Sung Yol Yu1, Woongbae Kim2, Chunghoon Park1,3, Kristine Yoonseo Lee1,
Kyu-Jin Cho1
1Biorobotics Laboratory, Seoul National University 2Korea Institute of Science and Technology 3Global Technology Research, Samsung Electronics Co. Ltd.

Abstract

Humans use their dexterous fingers and adaptable palm in various multi-object grasping strategies to efficiently move multiple objects together in various situations. Advanced manipulation skills, such as finger-to-palm translation and palm-to-finger translation, enhance the dexterity in multiobject grasping. These translational movements allow the fingers to transfer the grasped objects to the palm for storage, enabling the fingers to freely perform various pick-and-place tasks while the palm stores multiple objects. However, conventional grippers, although able to handle multiple objects simultaneously, lack this integrated functionality, which combines the palm’s storage with the fingers’ precise placement. Here, we introduce a gripper for multi-object grasping that applies translational movements of fingertips to leverage the synergistic use of fingers and the palm for enhanced pick-and-place functionality. The proposed gripper consists of four fingers and an adaptive conveyor palm. The fingers sequentially grasp and transfer objects to the palm, where the objects are stored simultaneously, allowing the gripper to move multiple objects at once. Furthermore, by reversing this process, the fingers retrieve the stored objects and place them one by one in the desired position and orientation. A finger design for simple object translating and a palm design for simultaneous object storing were proposed and validated. In addition, the time efficiency and pick-and-place capabilities of the developed gripper were demonstrated. Our work shows the potential of finger translation to enhance functionality and broaden the applicability of multi-object grasping.

Video

This video explains the research motivation, the mechanism design of the proposed gripper, and its applications.

Demo - Logistics

A lab-scale logistics demonstration was conducted to validate that the developed gripper can selectively pick up and transport multiple objects together.

Comparison - Single-Object Grasping

Compared to the same demonstration performed with single-object grasping, the proposed multi-object gripper reduced the end-effector's travel distance by approximately 71% and the overall process time by about 34%.


Demo - Tidying Up a Desk

To verify that the proposed gripper can place the stored objects in their desired locations, we demonstrated a gripper tidying up a cluttered desk in a domestic environment.

Pick and Place Various Objects

The gripper also successfully grasped, stored, retrieved, and placed 23 different types of objects due to the adaptability of its fingers and conveyor palm.


Grasp Strategy I – Hand Segmentation

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Grasp Strategy II – Finger-to-Palm and Palm-to-Finger Translation

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Mechanism Design

What mechanism design enables a robotic gripper to effectively replicate human finger-to-palm and palm-to-finger translation?

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BibTeX

@article{eom2024mogrip,
  title={MOGrip: Gripper for multiobject grasping in pick-and-place tasks using translational movements of fingers},
  author={Eom, Jaemin and Yu, Sung Yol and Kim, Woongbae and Park, Chunghoon and Lee, Kristine Yoonseo and Cho, Kyu-Jin},
  journal={Science Robotics},
  volume={9},
  number={97},
  pages={eado3939},
  year={2024},
  publisher={American Association for the Advancement of Science}
}