夹持器
软机器人
适应性
灵活性(工程)
仿生学
执行机构
形状记忆合金*
运动学
工程类
机器人
机器人末端执行器
吸盘
计算机科学
机械工程
模拟
控制工程
人工智能
算法
生态学
统计
物理
数学
经典力学
生物
作者
Weimian Zhou,Chanchan Xu,Guisong Chen,Xiaojie Wang
标识
DOI:10.1088/1748-3190/ad936e
摘要
The exploration of adaptive robotic systems capable of performing complex tasks in unstructured environments, such as underwater salvage operations, presents a significant challenge. Traditional rigid grippers often struggle with adaptability, whereas bioinspired soft grippers offer enhanced flexibility and adaptability to varied object shapes. In this study, we present a novel bioinspired soft robotic gripper integrated with a shape memory alloy (SMA) actuated suction cup, inspired by the versatile grasping strategies of octopus arms and suckers. Our design leverages a tendon-driven composite arm, enabling precise bending and adaptive grasping, combined with SMA technology to create a compact, efficient suction mechanism. We develop comprehensive kinematic and static models to predict the interaction between arm bending deflection and suction force, thereby optimizing the gripper's performance. Experimental validation demonstrates the efficacy of our integrated design, highlighting its potential for advanced manipulation tasks in challenging environments. This work provides a new perspective on the integration of bioinspired design principles with smart materials, paving the way for future innovations in adaptive robotic systems.
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