夹持器
执行机构
弯曲
软机器人
工程类
机械工程
结构工程
计算机科学
人工智能
作者
Yuze Ye,Peilin Cheng,Bo Yan,Yebo Lu,Chuanyu Wu
标识
DOI:10.1007/s10846-022-01721-1
摘要
Soft grippers have attracted increasing attention due to safer and more adaptable human–machine and environment-machine interactions. However, it has always been a challenge for soft grippers to work under different sizes, shapes, and postures. This paper presents a four-finger soft gripper with two gripping sizes and four gripping modes. The fiber-reinforced bending actuator is used to mimic the finger of the soft gripper. A theoretical model is established to predict the relationship between the bending angle and pressure of the actuator. The single finger bending experiment is carried out to verify the theoretical model. The capability of variable gripping size of the soft gripper has been proofed, which has increased the gripping size range from 84 to 141 mm. The static gripping test and dynamic palletizing test have been performed. The results show that by varying the gripping modes, objects with various sizes, shapes, and postures can be steadily gripped. This study offers a promising solution for the design of multifunctional soft grippers.
科研通智能强力驱动
Strongly Powered by AbleSci AI