Development of a soft gripper for replicating human grasps in forest nursery tasks

IF 4.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Mohammad Sheikh Sofla , Hanita Golshanian , Elizabeth I. Sklar , Marcello Calisti
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引用次数: 0

Abstract

This research aims to automate labour-intensive tasks in forest nurseries by developing a soft gripper that mimics human workers' grasps to perform the singulation and sorting of tree saplings. By analysing human workers and conducting experimental investigations, the required grasp types and grip forces were identified. The Fin Ray Effect (FRE) structure, noted for its adaptability to asymmetric shapes, was chosen as the gripper's basis. However, modifications were necessary to achieve the required power and pinch grasp types and to provide the desired grip forces. Simulation analysis explored various beam configurations and boundary conditions of FRE fingers, resulting in a proposed modified design. Experimental investigations confirmed that the proposed gripper effectively delivered required grasps and grip forces. The new design enabled three additional grasp types for FRE grippers and increased grip forces by over 200 %. This gripper design is suitable for industrial pick-and-place applications where precise pinching grasp and various power grasps with sufficient payload capacity are needed.
用于复制人类在森林保育任务中抓取的软性抓取器的研制
这项研究旨在通过开发一种模仿人类工人抓取的软抓取器来执行树苗的单挑和分类,从而实现森林苗圃劳动密集型任务的自动化。通过分析人类工人并进行实验调查,确定了所需的抓握类型和抓握力。鳍射线效应(FRE)结构以其对非对称形状的适应性而闻名,被选择作为夹持器的基础。然而,修改是必要的,以实现所需的权力和捏抓类型,并提供所需的握力。仿真分析了FRE指的各种梁构型和边界条件,提出了一种改进设计方案。实验调查证实,提出的抓手有效地提供所需的抓地力和抓地力。新设计为FRE夹具增加了三种抓握类型,握力增加了200%以上。这种夹持器设计适用于工业拾取和放置应用,需要精确的夹持和具有足够有效载荷能力的各种功率夹持。
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来源期刊
Robotics and Autonomous Systems
Robotics and Autonomous Systems 工程技术-机器人学
CiteScore
9.00
自引率
7.00%
发文量
164
审稿时长
4.5 months
期刊介绍: Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems. Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.
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