Applications of a vacuum-actuated multi-material hybrid soft gripper: lessons learnt from RoboSoft manipulation challenge.

IF 2.9 Q2 ROBOTICS Frontiers in Robotics and AI Pub Date : 2024-05-28 eCollection Date: 2024-01-01 DOI:10.3389/frobt.2024.1356692
Saikrishna Dontu, Elgar Kanhere, Thileepan Stalin, Audelia Gumarus Dharmawan, Chidanand Hegde, Jiangtao Su, Xiaodong Chen, Shlomo Magdassi, Gim Song Soh, Pablo Valdivia Y Alvarado
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Abstract

Soft grippers are garnering increasing attention for their adeptness in conforming to diverse objects, particularly delicate items, without warranting precise force control. This attribute proves especially beneficial in unstructured environments and dynamic tasks such as food handling. Human hands, owing to their elevated dexterity and precise motor control, exhibit the ability to delicately manipulate complex food items, such as small or fragile objects, by dynamically adjusting their grasping configurations. Furthermore, with their rich sensory receptors and hand-eye coordination that provide valuable information involving the texture and form factor, real-time adjustments to avoid damage or spill during food handling appear seamless. Despite numerous endeavors to replicate these capabilities through robotic solutions involving soft grippers, matching human performance remains a formidable engineering challenge. Robotic competitions serve as an invaluable platform for pushing the boundaries of manipulation capabilities, simultaneously offering insights into the adoption of these solutions across diverse domains, including food handling. Serving as a proxy for the future transition of robotic solutions from the laboratory to the market, these competitions simulate real-world challenges. Since 2021, our research group has actively participated in RoboSoft competitions, securing victories in the Manipulation track in 2022 and 2023. Our success was propelled by the utilization of a modified iteration of our Retractable Nails Soft Gripper (RNSG), tailored to meet the specific requirements of each task. The integration of sensors and collaborative manipulators further enhanced the gripper's performance, facilitating the seamless execution of complex grasping tasks associated with food handling. This article encapsulates the experiential insights gained during the application of our highly versatile soft gripper in these competition environments.

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真空驱动多材料混合软抓手的应用:从 RoboSoft 操纵挑战中汲取的经验教训。
软抓手因其善于适应各种物体,尤其是易碎物品,而无需进行精确的力控制而日益受到关注。事实证明,这一特性在非结构化环境和动态任务(如食品处理)中尤其有益。人的双手由于具有较高的灵活性和精确的运动控制能力,因此能够通过动态调整其抓握配置来精细地处理复杂的食品,如小型或易碎物品。此外,它们丰富的感官感受器和手眼协调能力可提供有关质地和形状因素的宝贵信息,因此在处理食物时可进行实时调整,避免食物损坏或溢出。尽管许多人都在努力通过涉及软抓手的机器人解决方案来复制这些能力,但与人类的表现相匹配仍然是一项艰巨的工程挑战。机器人竞赛是推动操纵能力发展的宝贵平台,同时还能让人们深入了解这些解决方案在食品处理等不同领域的应用情况。这些比赛模拟了真实世界的挑战,是未来机器人解决方案从实验室向市场过渡的代表。自 2021 年以来,我们的研究小组一直积极参加 RoboSoft 竞赛,并在 2022 年和 2023 年的操纵赛道上取得了胜利。我们的成功得益于我们对可伸缩式软钉机械手(RNSG)的改进迭代,以满足每项任务的具体要求。传感器和协作机械手的集成进一步提高了机械手的性能,有助于无缝执行与食品处理相关的复杂抓取任务。本文概括了我们的多功能软抓手在这些竞赛环境中的应用经验。
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
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
期刊最新文献
Cybernic robot hand-arm that realizes cooperative work as a new hand-arm for people with a single upper-limb dysfunction. Advancements in the use of AI in the diagnosis and management of inflammatory bowel disease. Remote science at sea with remotely operated vehicles. A pipeline for estimating human attention toward objects with on-board cameras on the iCub humanoid robot. Leveraging imitation learning in agricultural robotics: a comprehensive survey and comparative analysis.
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