Novel design method for multi-configuration dexterous hand based on a gesture primitives analysis

抓住 工作区 计算机科学 稳健性(进化) 手势 模块化设计 人工智能 仿生学 机械手 计算机视觉 多边形网格 执行机构 模拟 机器人 计算机图形学(图像) 生物化学 化学 基因 程序设计语言 操作系统
作者
Zhicheng Tao,Shineng Sheng,Zhipei Chen,Guanjun Bao
出处
期刊:Industrial Robot-an International Journal [Emerald Publishing Limited]
卷期号:48 (3): 463-472 被引量:1
标识
DOI:10.1108/ir-09-2020-0211
摘要

Purpose This paper aims to propose a novel method based on a gesture primitives analysis of human daily grasping tasks for designing dexterous hands with various grasping and in-hand manipulation abilities, which simplifies the complex and redundant humanoid five-finger hand system. Design/methodology/approach First, the authors developed the fingers and the joint configuration with a series of gesture primitives configurations and the modular virtual finger scheme, refined from the daily work gesture library by principal component analysis. Then, the authors optimized the joint degree-of-freedom configuration with the bionic design analysis of the anatomy, and the authors optimized the dexterity workspace. Furthermore, the adaptive fingertip and routing structure were designed based on the dexterous manipulation theory. Finally, the effectiveness of the design method was experimentally validated. Findings A novel lightweight three-finger and nine-degree-of-freedom dexterous hand with force/position perception was designed. The proposed routing structure was shown to have the capability of mapping the relationship between the joint space and actuator space. The adaptive fingertip with an embedded force sensor can effectively increase the robustness of the grasping operation. Moreover, the dexterous hand can grasp various objects in different configurations and perform in-hand manipulation dexterously. Originality/value The dexterous hand design developed in this study is less complex and performs better in dexterous manipulation than previous designs.
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
大个应助笨笨牛排采纳,获得10
1秒前
1秒前
冰块发布了新的文献求助10
1秒前
3秒前
4秒前
zza完成签到,获得积分10
4秒前
5秒前
wanci应助晚风采纳,获得10
5秒前
6秒前
6秒前
6秒前
7秒前
liux完成签到,获得积分20
7秒前
兔子精完成签到,获得积分10
8秒前
一杯芝士应助孤独之云采纳,获得10
8秒前
8秒前
8秒前
上官枫发布了新的文献求助10
9秒前
9秒前
威武语儿发布了新的文献求助10
10秒前
哆啦A梦完成签到 ,获得积分20
11秒前
11秒前
12秒前
12秒前
yuyuyuyu发布了新的文献求助10
12秒前
13秒前
13秒前
自由飞翔发布了新的文献求助10
13秒前
xixixii发布了新的文献求助10
15秒前
阿富发布了新的文献求助10
16秒前
16秒前
17秒前
17秒前
脑洞疼应助彦卿采纳,获得10
17秒前
18秒前
zza发布了新的文献求助10
18秒前
春庭景发布了新的文献求助10
19秒前
领导范儿应助Chaos采纳,获得10
20秒前
斯文败类应助shidewu采纳,获得10
21秒前
小老鼠大鸭梨完成签到,获得积分20
21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
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7389286
求助须知:如何正确求助?哪些是违规求助? 8995716
关于积分的说明 19143809
捐赠科研通 7026211
什么是DOI,文献DOI怎么找? 3228636
关于科研通互助平台的介绍 2390917
邀请新用户注册赠送积分活动 2209944