Switching control of latex balloon expansion by using switching valve mediated with the Coanda effect

IF 1.5 Q3 INSTRUMENTS & INSTRUMENTATION
Keita, Kaneko, Kenjiro, Takemura
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引用次数: 0

Abstract

Soft robots have advantages in terms of safety, softness, and compliance compared to traditional robotic systems. However, fluid-driven soft actuators, often employed in soft robots, require a corresponding number of bulky pressure supplies/valves to drive. Here, we consider a valve that can control the flow without mechanical moving parts for simplifying the driving system of soft actuators. We developed a system comprising a pump, a switching valve, and two latex balloons to demonstrate the feasibility of introducing a fluid valve into soft robotics. As the valve, which makes use of the Coanda effect, can switch the flow between two outlets when the pressure difference between the outlets is 3 kPa, we employed a latex balloon connected to each outlet. The system can control the expansion of each balloon by switching the flow from the pump. The experimental results proved that the system could actuate each balloon.
利用开关阀介导Coanda效应对乳胶球囊膨胀进行开关控制
与传统机器人系统相比,软机器人在安全性、柔软性和顺应性方面具有优势。然而,通常用于软机器人的流体驱动软执行器需要相应数量的笨重压力供应器/阀门来驱动。为了简化软执行器的驱动系统,我们考虑了一种不需要机械运动部件就能控制流量的阀门。我们开发了一个系统,包括一个泵、一个开关阀和两个乳胶气球,以证明将流体阀引入软机器人的可行性。由于阀门利用康达效应,当两个出口之间的压力差为3kpa时,可以在两个出口之间切换流量,因此我们使用乳胶气球连接每个出口。该系统可以通过切换泵的流量来控制每个气球的膨胀。实验结果证明,该系统可以驱动每个气球。
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来源期刊
ROBOMECH Journal
ROBOMECH Journal Mathematics-Control and Optimization
CiteScore
3.20
自引率
7.10%
发文量
21
审稿时长
13 weeks
期刊介绍: ROBOMECH Journal focuses on advanced technologies and practical applications in the field of Robotics and Mechatronics. This field is driven by the steadily growing research, development and consumer demand for robots and systems. Advanced robots have been working in medical and hazardous environments, such as space and the deep sea as well as in the manufacturing environment. The scope of the journal includes but is not limited to: 1. Modeling and design 2. System integration 3. Actuators and sensors 4. Intelligent control 5. Artificial intelligence 6. Machine learning 7. Robotics 8. Manufacturing 9. Motion control 10. Vibration and noise control 11. Micro/nano devices and optoelectronics systems 12. Automotive systems 13. Applications for extreme and/or hazardous environments 14. Other applications
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