一种用于软机器人周期增压的自激气流通道变换装置

IF 1.7 Q3 INSTRUMENTS & INSTRUMENTATION
Takayama, Toshio, Sumi, Yusuke
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引用次数: 4

摘要

近年来,气动软机器人得到了广泛的发展。通常,这种机器人的工作原理是通过空气压力使弹性充气室充气和放气。一些软机器人需要快速和周期性的充气和充气,以产生连续的运动,如前进运动或旋转运动。然而,如果软机器人需要在远离气压源的地方操作,则需要长空气管向其气室提供空气压力。因此,向气室供气压力有很大的延迟,机器人的运动速度减慢。在本文中,我们提出了一种紧凑的装置,该装置通过连续气流供应产生的自激运动来改变其气流通道。该装置的直径和长度分别为20和50mm,可以在小管道中驱动。我们提出的管道内移动机器人与设备相连,可以通过将设备拖拽到一个小管道中来移动。为了将该装置广泛应用于其他软体机器人,我们还讨论了一种调节输出压力和运动频率的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-excited air flow passage changing device for periodic pressurization of soft robot
Recently pneumatic-driven soft robots have been widely developed. Usually, the operating principle of this robot is the inflation and deflation of elastic inflatable chambers by air pressure. Some soft robots need rapid and periodic inflation and deflation of their air chambers to generate continuous motion such as progress motion or rotational motion. However, if the soft robot needs to operate far from the air pressure source, long air tubes are required to supply air pressure to its air chambers. As a result, there is a large delay in supplying air pressure to the air chamber, and the motion of the robot slows down. In this paper, we propose a compact device that changes its airflow passages by self-excited motion generated by a supply of continuous airflow. The diameter and the length of the device are 20 and 50 mm, respectively, and can be driven in a small pipe. Our proposed in-pipe mobile robot is connected to the device and can move in a small pipe by dragging the device into it. To apply the device widely to other soft robots, we also discuss a method of adjusting the output pressure and motion frequency.
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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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