Multi-segment soft robotic fingers enable robust precision grasping

稳健性(进化) 机械手 计算机科学 人工智能 夹持器 计算机视觉 工程类 控制理论(社会学) 机器人 机械工程 控制(管理) 生物化学 基因 化学
作者
Clark B. Teeple,Théodore Koutros,Moritz A. Graule,Robert J. Wood
出处
期刊:The International Journal of Robotics Research [SAGE]
卷期号:39 (14): 1647-1667 被引量:99
标识
DOI:10.1177/0278364920910465
摘要

In this work, we discuss the design of soft robotic fingers for robust precision grasping. Through a conceptual analysis of the finger shape and compliance during grasping, we confirm that antipodal grasps are more stable when contact with the object occurs on the side of the fingers (i.e., pinch grasps) instead of the fingertips. In addition, we show that achieving such pinch grasps with soft fingers for a wide variety of objects requires at least two independent bending segments each, but only requires actuation in the proximal segment. Using a physical prototype hand, we evaluate the improvement in pinch-grasping performance of this two-segment proximally actuated finger design compared to more typical, uniformly actuated fingers. Through an exploration of the relative lengths of the two finger segments, we show the tradeoff between power grasping strength and precision grasping capabilities for fingers with passive distal segments. We characterize grasping on the basis of the acquisition region, object sizes, rotational stability, and robustness to external forces. Based on these metrics, we confirm that higher-quality precision grasping is achieved through pinch grasping via fingers with the proximally actuated finger design compared to uniformly actuated fingers. However, power grasping is still best performed with uniformly actuated fingers. Accordingly, soft continuum fingers should be designed to have at least two independently actuated serial segments, since such fingers can maximize grasping performance during both power and precision grasps through controlled adaptation between uniform and proximally actuated finger 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
赘婿应助傲娇的沁采纳,获得10
刚刚
刻苦听寒完成签到,获得积分10
1秒前
1秒前
huihui完成签到,获得积分10
1秒前
1秒前
WANGs完成签到,获得积分10
1秒前
wdy完成签到,获得积分10
2秒前
yet完成签到 ,获得积分10
3秒前
陶醉的手套完成签到,获得积分10
3秒前
一个人的朝圣完成签到,获得积分10
4秒前
鲤鱼谷秋发布了新的文献求助10
4秒前
weiwei发布了新的文献求助10
5秒前
syn发布了新的文献求助10
5秒前
5秒前
热情的机器猫完成签到,获得积分10
5秒前
诗酒梦芳华完成签到 ,获得积分10
6秒前
wdy发布了新的文献求助10
6秒前
7秒前
liyiren完成签到,获得积分10
7秒前
ZXY发布了新的文献求助10
7秒前
7秒前
健健康康发布了新的文献求助30
7秒前
英俊的铭应助冰苏打采纳,获得10
7秒前
Li完成签到,获得积分10
8秒前
双吉芝士堡完成签到,获得积分10
10秒前
11秒前
qdsj2033完成签到,获得积分10
11秒前
涪城的涪完成签到,获得积分10
11秒前
Jadon发布了新的文献求助10
11秒前
11秒前
12秒前
13秒前
13秒前
14秒前
yirenli完成签到,获得积分10
14秒前
赘婿应助naniak采纳,获得10
16秒前
杨贵严完成签到,获得积分10
16秒前
龙大王完成签到 ,获得积分10
16秒前
695发布了新的文献求助10
16秒前
17秒前
高分求助中
(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
Kinesiophobia : a new view of chronic pain behavior 2000
The Social Psychology of Citizenship 1000
Streptostylie bei Dinosauriern nebst Bemerkungen über die 540
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Brittle Fracture in Welded Ships 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5923849
求助须知:如何正确求助?哪些是违规求助? 6935725
关于积分的说明 15822439
捐赠科研通 5051621
什么是DOI,文献DOI怎么找? 2717819
邀请新用户注册赠送积分活动 1672718
关于科研通互助平台的介绍 1607832