夹持器
容错
机器人
稳健性(进化)
计算机科学
水下
软机器人
适应性
颠倒
人工智能
工程类
模拟
控制工程
机械工程
分布式计算
地质学
生物
基因
海洋学
化学
生物化学
生态学
作者
Haili Li,Xingzhi Li,Bo Wang,Xiaoyang Shang,Jiantao Yao
出处
期刊:IEEE robotics and automation letters
日期:2023-04-12
卷期号:8 (6): 3302-3309
被引量:7
标识
DOI:10.1109/lra.2023.3266668
摘要
To improve the manipulation efficiency and robustness of soft grippers, this work proposes a soft swallowing robot with a continuous grasping mode. The soft swallowing robot has two advantages of grasping fault tolerance and structural fault tolerance: i) It can perform the grasping action uninterruptedly to deal with non-cooperative objects efficiently, unlike most existing grippers, which must perform the release action after grasping failure to carry out the next grasping action; ii) It can still maintain the grasping function after the failure of a part of its core structures. The finite element model quantitatively characterizes the effects of object size, friction coefficient, and manufacturing materials on the swallowing force. The fault tolerance experiments prove that the maximum proportion of structural faults that the soft swallowing robot can tolerate is 50%. In addition, the grasping experiments for underwater animals demonstrated that the soft swallowing robot has the advantages of high efficiency and strong adaptability in the manipulation of delicate structures. The research results are expected to be applied to underwater biological sample collection and seafood fishing.
科研通智能强力驱动
Strongly Powered by AbleSci AI