A Passively Conforming Soft Robotic Gripper with Three-Dimensional Negative Bending Stiffness Fingers

夹持器 抓住 刚度 杂乱 机器人 工作区 弯曲 计算机科学 人工智能 软机器人 光学(聚焦) 工程类 计算机视觉 模拟 机械工程 结构工程 物理 雷达 光学 电信 程序设计语言
作者
Ashley H. Chu,Tianyu Cheng,Arnold Muralt,Çağdaş D. Önal
出处
期刊:Soft robotics [Mary Ann Liebert, Inc.]
卷期号:10 (3): 556-567 被引量:13
标识
DOI:10.1089/soro.2021.0200
摘要

Robot grippers that lack physical compliance have a difficult time dealing with uncertainty, such as fragile objects that may not have well-defined shapes. Existing soft robotic grippers require a large empty workspace for their actuated fingers to curl around the objects of interest, limiting their performance in clutter. This article presents a three-dimensional structure that exhibits negative stiffness in every bending direction used as fingers in a class of soft robotic grippers. Our approach exploits a compliant mechanism in a conical shape such that a transverse external contact force causes the fingers to bend toward the contact, enabling passive conformation for an adaptive grasp, even in clutter. We show analytically and experimentally that the proposed fingers have a negative bending response and that they conform to objects of various diameters. We demonstrate a soft robotic gripper with three self-conforming fingers performing the following: (1) fingertip grasping, (2) power grasping, and (3) semipassive grasping in clutter. Grasping experiments focus on picking fruits, which exemplify delicate objects with unmodeled shapes with significant variation. The experimental results reveal the ability of the self-conforming structure to smoothly envelope a broad range of objects and demonstrate a 100% grasp success rate in the experiments performed. The proposed passively conforming fingers enable picking of complex and unknown geometries without disturbing nearby objects in clutter and without the need for complex grasping algorithms. The proposed structures can be tailored to deform in desired ways, enabling a robust strategy for the engineering of physical compliance for adaptive soft structures.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
yi5feng完成签到,获得积分10
刚刚
米鼓完成签到 ,获得积分10
刚刚
青青发布了新的文献求助200
刚刚
星辰大海应助yanghuiy1采纳,获得10
刚刚
Linux2000Pro完成签到,获得积分0
1秒前
神勇的萱萱完成签到,获得积分10
1秒前
研友_ZzaKqn完成签到,获得积分0
1秒前
浅海111完成签到,获得积分10
1秒前
cc发布了新的文献求助10
2秒前
Chris0120完成签到,获得积分10
2秒前
2秒前
Denzel发布了新的文献求助10
2秒前
MAVS完成签到,获得积分10
3秒前
Lucas应助savior采纳,获得10
3秒前
迟迟完成签到 ,获得积分10
3秒前
Kedr完成签到,获得积分10
3秒前
123发布了新的文献求助10
3秒前
不将夏完成签到,获得积分10
3秒前
El发布了新的文献求助30
3秒前
3秒前
JJ完成签到,获得积分10
3秒前
艾雪完成签到,获得积分10
3秒前
4秒前
cc发布了新的文献求助10
4秒前
2hi完成签到,获得积分10
5秒前
David完成签到,获得积分10
5秒前
5秒前
tangtang完成签到 ,获得积分10
5秒前
yaowenjun完成签到,获得积分10
5秒前
Vexolve完成签到 ,获得积分10
5秒前
缓舟行完成签到,获得积分10
5秒前
科研白菜白完成签到,获得积分10
6秒前
鱼鱼完成签到,获得积分10
6秒前
笑点低的文轩完成签到,获得积分10
6秒前
杨凡完成签到,获得积分20
6秒前
正直帆布鞋完成签到,获得积分10
6秒前
6秒前
6秒前
带我逃吧完成签到 ,获得积分10
7秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
久松真一著作集〈第5巻〉禅と芸術 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6555580
求助须知:如何正确求助?哪些是违规求助? 8339901
关于积分的说明 17867083
捐赠科研通 5673398
什么是DOI,文献DOI怎么找? 2940313
邀请新用户注册赠送积分活动 1916200
关于科研通互助平台的介绍 1786376