MOGrip: Gripper for multiobject grasping in pick-and-place tasks using translational movements of fingers

IF 26.1 1区 计算机科学 Q1 ROBOTICS Science Robotics Pub Date : 2024-12-11 DOI:10.1126/scirobotics.ado3939
Jaemin Eom, Sung Yol Yu, Woongbae Kim, Chunghoon Park, Kristine Yoonseo Lee, Kyu-Jin Cho
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Abstract

Humans use their dexterous fingers and adaptable palm in various multiobject 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 multiobject 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 multiobject grasping.
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MOGrip:使用手指的平移运动在拾取和放置任务中用于多物体抓取的夹具
人类利用灵巧的手指和适应性强的手掌进行各种多目标抓取策略,在各种情况下有效地将多个目标一起移动。先进的操作技能,如手指到手掌的转换和手掌到手指的转换,提高了多目标抓取的灵活性。这些平移运动允许手指将抓取的物体转移到手掌进行存储,使手指能够在手掌存储多个物体的同时自由地执行各种拾取和放置任务。然而,传统的抓手虽然能够同时处理多个物体,但缺乏这种将手掌的存储和手指的精确放置结合起来的综合功能。在这里,我们介绍了一个用于多物体抓取的抓手,它应用指尖的平移运动来利用手指和手掌的协同使用来增强拾取和放置功能。所提出的夹持器由四个手指和一个自适应输送带掌组成。手指按顺序抓取并将物体转移到手掌,在手掌中,物体被同时存储,允许抓取器一次移动多个物体。此外,通过反转这个过程,手指检索存储的对象,并将它们一个接一个地放置在所需的位置和方向上。提出并验证了用于简单对象转换的手指设计和用于同时对象存储的手掌设计。此外,还验证了所开发的夹持器的时间效率和拾取能力。我们的工作显示了手指翻译在增强功能和扩大多目标抓取的适用性方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Science Robotics
Science Robotics Mathematics-Control and Optimization
CiteScore
30.60
自引率
2.80%
发文量
83
期刊介绍: Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals. Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.
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