Self-Sensing Origami-Inspired Soft Twisting Actuators and Its Application in Soft Robots

IF 5.3 2区 计算机科学 Q2 ROBOTICS IEEE Robotics and Automation Letters Pub Date : 2023-12-26 DOI:10.1109/LRA.2023.3347142
Yang Yang;Shaoyang Yan;Yuan Xie;Yuchao Wang;Jia Liu;Yunquan Li;Jianshu Zhou
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Abstract

The good compliance of soft robots provides a reliable safety environment for human-robot interaction; however, it also creates challenges for adding sensors to soft robots. In this letter, we propose a self-sensing origami-inspired soft twisting actuator. The actuator is designed based on the structure of origami, enabling the compound motion of twist and contraction. The position sensor made from flexible fabric material is integrated in the soft actuator body. With twisting angle feedback, the self-sensing twisting actuator can not only provide expected motion but also acquire additional environment information based on real-time sensing. This letter discusses the design, fabrication, and experimental validation of proposed self-sensing twisting actuator. Based on the self-sensing twisting actuator, a soft gripper, a soft robotic arm, and a soft hexapod robot, all vacuum-powered, are designed and prototyped to validate their performance. The proposed soft actuator has great potential for applications in scenarios that require self-sensing information and closed-loop control.
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自感应折纸启发的软扭转执行器及其在软机器人中的应用
软体机器人良好的顺应性为人机交互提供了可靠的安全环境;然而,这也为在软体机器人上添加传感器带来了挑战。在这封信中,我们提出了一种受折纸启发的自感应软扭转致动器。该致动器的设计基于折纸结构,可实现扭转和收缩的复合运动。由柔性织物材料制成的位置传感器集成在软推杆本体中。通过扭转角度反馈,自感应扭转致动器不仅能提供预期运动,还能根据实时传感获取额外的环境信息。本文讨论了所提出的自感应扭转致动器的设计、制造和实验验证。在自感应扭转致动器的基础上,设计了一个软抓手、一个软机械臂和一个软六足机器人(均为真空供电),并制作了原型验证其性能。所提出的软致动器在需要自感应信息和闭环控制的应用场景中具有巨大的潜力。
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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