Xie Zhexin, Yuan Feiyang, Liu Jiaqi, Tian Lufeng, Chen Bohan, Fu Zhongqiang, Mao Sizhe, Jin Tongtong, Wang Yun, He Xia, Wang Gang, Mo Yanru, Ding Xilun, Zhang Yihui, Laschi Cecilia, Wen Li
School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.
Department of Mechanical Engineering, National University of Singapore, Singapore 117575, Singapore.
Sci Robot. 2023 Nov 22;8(84):eadh7852. doi: 10.1126/scirobotics.adh7852. Epub 2023 Nov 29.
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.
章鱼可以通过一种独特的“弯曲传播”运动挥动它们柔软的触手,用敏感的吸盘捕捉猎物。这种相对简单的策略为机器人抓取提供了模型,只需少量输入即可控制,并且拥有一条具有传感能力的高度可变形手臂。在这里,我们制造了一种集成电子的柔软章鱼触手(E-SOAM),它能够在较大空间内实现伸展、传感、抓取和交互。基于章鱼的生物弯曲传播原理,E-SOAM采用弯曲-伸长传播模型,以简单而高效的方式进行移动、伸展和抓取。E-SOAM的远端部分起到了抓手的作用,通过集成一种可承受710%的单轴拉伸和270%的双轴拉伸的基于液态金属的可拉伸电子电路,它能够在高度变形的工作状态下处理弯曲、吸力和温度传感信息,从而在受限环境中自主执行任务。通过将这个带有传感器的远端部分与一条柔软的触手相结合,E-SOAM能够在长达其原始触手长度1.5倍的范围内执行伸展-抓取-缩回动作,类似于真实的章鱼。通过一个能产生吸力感觉的可穿戴手指手套,人类只需用一根手指就能远程且交互地控制机器人在空气中和水下的平面内和平面外的伸展和抓取动作。E-SOAM的研究成果不仅有助于我们理解章鱼触手运动的功能,还为创建可与人类及其环境交互的可拉伸电子集成仿生自主系统提供了设计思路。