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 可穿戴计算机 人工智能 机械工程 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,Wang Yun,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 (AAAS)]
卷期号:8 (84) 被引量:52
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
苏苏完成签到,获得积分10
刚刚
刚刚
刚刚
高大黄蜂完成签到,获得积分10
1秒前
新青年应助gmc采纳,获得10
1秒前
勤劳落雁发布了新的文献求助10
1秒前
超帅的从菡完成签到 ,获得积分10
1秒前
leena发布了新的文献求助10
1秒前
斯文败类应助Hh采纳,获得10
2秒前
高大黄蜂发布了新的文献求助10
3秒前
英姑应助guygun采纳,获得10
3秒前
Feng完成签到,获得积分10
4秒前
5秒前
花花完成签到,获得积分10
5秒前
一言矣完成签到 ,获得积分10
6秒前
海绵宝宝完成签到,获得积分10
7秒前
贪吃的猴子完成签到,获得积分10
7秒前
long完成签到 ,获得积分10
8秒前
研友_LOqqmZ发布了新的文献求助10
9秒前
CodeCraft应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
kilig应助科研通管家采纳,获得10
9秒前
CodeCraft应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
清心淡如水完成签到,获得积分10
9秒前
Hao应助命运的X号采纳,获得10
10秒前
11秒前
12秒前
哭泣恋风完成签到 ,获得积分10
12秒前
zhizhzihzih完成签到,获得积分10
12秒前
12秒前
2568269431完成签到 ,获得积分10
13秒前
panzer发布了新的文献求助10
13秒前
13秒前
14秒前
smile发布了新的文献求助10
14秒前
15秒前
酷炫蚂蚁发布了新的文献求助10
15秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824