软机器人
夹持器
抓住
能量(信号处理)
执行机构
机制(生物学)
工程类
模拟
计算机科学
人工智能
机械工程
数学
哲学
统计
软件工程
认识论
作者
Zhaoqing Sun,Tianqi Jiang,Zhenyu Wang,Pei Jiang,Yang Yang,Huaqiang Li,Teng Ma,Jun Luo
出处
期刊:Soft robotics
[Mary Ann Liebert]
日期:2024-02-01
卷期号:11 (1): 140-156
标识
DOI:10.1089/soro.2022.0242
摘要
The performance of the human finger is a significant inspiration for designing soft robotic fingers that can achieve high speed and high force or perform delicate and complex tasks. Existing soft grippers and actuators can be excellent in specific capabilities. However, it is still challenging for them to meet an all-around performance as the human finger, characterized by high actuation speed, wide grasping range, sensing ability, and gentle and high-load grasping capability. The proposed tendon pulley quadrastable (TPQ) finger has combined these qualities in the conducted gripping tasks. A pair of elastic tendons is utilized as the sole energy reservoir to create a novel energy distribution pattern: energy-coupled quadrastability. An energy model is built to analyze and predict the behaviors of the TPQ finger. Mechanical instability is utilized to enhance the actuation speed. The proposed soft lever mechanism endows the TPQ finger with sensing ability. The energy barrier adjusting plates control the energy barrier, adjusting the sensitivity of both active and passive actuation mechanisms. The transition of four stable states forms preplanned trajectories that are applied to create multiple grasping manners. Experiments show that it can respond to stimuli and finish a grasping task in merely 31 ms, and its payload can reach 33.25 kg. At the same time, it can also handle fragile objects such as a piece of rose and grasp a wide range of objects ranging from a thin nut (3.3 mm in height) or a thin card (0.76 mm thick) to a football (220 mm).
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