Octopus-inspired sensorized soft arm for environmental interaction

软机器人 八达通(软件) 过程(计算) 弯曲 计算机科学 仿生学 模拟 抓住 机械臂 可穿戴计算机 人工智能 工程类 计算机视觉 机器人 物理 结构工程 嵌入式系统 量子力学 操作系统 程序设计语言
作者
Zhexin Xie,Feiyang Yuan,Jiaqi Liu,Lufeng Tian,Bohan Chen,Zhongqiang Fu,Sizhe Mao,Tongtong Jin,Yun Wang,Xia He,Gang Wang,Yanru Mo,Xilun Ding,Yihui Zhang,Cecilia Laschi,Li Wen
出处
期刊:Science robotics [American Association for the Advancement of Science]
卷期号:8 (84): eadh7852-eadh7852 被引量:258
标识
DOI:10.1126/scirobotics.adh7852
摘要

Octopuses can whip their soft arms with a characteristic "bend propagation" motion to capture prey with sensitive suckers. This relatively simple strategy provides models for robotic grasping, controllable with a small number of inputs, and a highly deformable arm with sensing capabilities. Here, we implemented an electronics-integrated soft octopus arm (E-SOAM) capable of reaching, sensing, grasping, and interacting in a large domain. On the basis of the biological bend propagation of octopuses, E-SOAM uses a bending-elongation propagation model to move, reach, and grasp in a simple but efficient way. E-SOAM's distal part plays the role of a gripper and can process bending, suction, and temperature sensory information under highly deformed working states by integrating a stretchable, liquid-metal-based electronic circuit that can withstand uniaxial stretching of 710% and biaxial stretching of 270% to autonomously perform tasks in a confined environment. By combining this sensorized distal part with a soft arm, the E-SOAM can perform a reaching-grasping-withdrawing motion across a range up to 1.5 times its original arm length, similar to the biological counterpart. Through a wearable finger glove that produces suction sensations, a human can use just one finger to remotely and interactively control the robot's in-plane and out-of-plane reaching and grasping both in air and underwater. E-SOAM's results not only contribute to our understanding of the function of the motion of an octopus arm but also provide design insights into creating stretchable electronics-integrated bioinspired autonomous systems that can interact with humans and their environments.
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
梦想的笨猪完成签到,获得积分10
1秒前
2秒前
大模型应助辰辰采纳,获得10
3秒前
经久完成签到 ,获得积分10
4秒前
Jasper应助明明采纳,获得10
5秒前
蓝天应助小蒋采纳,获得10
5秒前
6秒前
深情安青应助rgsrgrs采纳,获得10
6秒前
molihuakai应助碧蓝幼菱采纳,获得10
6秒前
呆头鹅完成签到,获得积分10
7秒前
疯子不风完成签到,获得积分10
7秒前
Y_发布了新的文献求助10
7秒前
搜集达人应助正直画笔采纳,获得10
8秒前
8秒前
泡泡完成签到,获得积分10
8秒前
JJF应助爱笑的蛇采纳,获得30
9秒前
10秒前
11秒前
研友_LaOJNZ发布了新的文献求助10
11秒前
11秒前
xy完成签到,获得积分10
13秒前
hjm发布了新的文献求助10
13秒前
donny完成签到,获得积分10
13秒前
顾矜应助ximei采纳,获得20
13秒前
Cheung2121发布了新的文献求助30
15秒前
15秒前
16秒前
LKX心完成签到 ,获得积分10
17秒前
Felixsun发布了新的文献求助20
17秒前
17秒前
18秒前
王萍有发布了新的文献求助10
18秒前
xiaoming777发布了新的文献求助10
18秒前
科目三应助陈晓旭采纳,获得10
18秒前
18秒前
sxq发布了新的文献求助10
20秒前
健康的妙菱完成签到,获得积分10
21秒前
研友_LaOJNZ完成签到,获得积分20
21秒前
铁甲小宝1发布了新的文献求助10
21秒前
aabsd发布了新的文献求助10
22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
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Research Methods for Applied Linguistics 500
Picture Books with Same-sex Parented Families Unintentional Censorship 444
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 6413040
求助须知:如何正确求助?哪些是违规求助? 8232029
关于积分的说明 17472854
捐赠科研通 5465788
什么是DOI,文献DOI怎么找? 2887900
邀请新用户注册赠送积分活动 1864636
关于科研通互助平台的介绍 1703062