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) 被引量:108
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.
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