抓住
软机器人
机制(生物学)
计算机科学
吸盘
夹持器
计算机视觉
人工智能
机械工程
机器人
工程类
物理
程序设计语言
量子力学
作者
Mingxin Wu,Xingwen Zheng,Ruosi Liu,Ningzhe Hou,Waqar Hussain Afridi,Rahdar Hussain Afridi,Xin Guo,Jianing Wu,Chen Wang,Guangming Xie
出处
期刊:Advanced Science
[Wiley]
日期:2022-04-07
卷期号:9 (17): e2104382-e2104382
被引量:113
标识
DOI:10.1002/advs.202104382
摘要
Abstract A soft gripper inspired by the glowing sucker octopus ( Stauroteuthis syrtensis )’ highly evolved grasping capability enabled by the umbrella‐shaped dorsal and ventral membrane between each arm is presented here, comprising of a 3D‐printed linkage mechanism used to actuate a modular mold silicone‐casting soft suction disc to deform. The soft gripper grasp can lift objects using the suction generated by the pump in the soft disc. Moreover, the protruded funnel‐shaped end of the deformed suctorial mouth can adapt to smooth and rough surfaces. Furthermore, when the gripper contacts the submerged target objects in a turbid environment, local suctorial mouth arrays on the suction disc are locked, causing the variable flow inside them, which can be detected as a tactile perception signal to the target objects instead of visual perception. Aided by the 3D‐printed linkage mechanism, the soft gripper can grasp objects of different shapes and dimensions, including flat objects, objects beyond the grasping range, irregular objects, scattered objects, and a moving turtle. The results report the soft gripper's versatility and demonstrate the vast application potentials of self‐adaptive grasping and sensing in various environments, including but are not limited to underwater, which is always a key challenge of grasping technology.
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