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A soft robot capable of 2D mobility and self-sensing for obstacle detection and avoidance

机译:一种能够进行2D移动性和自感的软机器,用于障碍物检测和避免

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Soft robots have shown great potential for surveillance applications due to their interesting attributes including inherent flexibility, extreme adaptability, and excellent ability to move in confined spaces. High mobility combined with the sensing systems that can detect obstacles plays a significant role in performing surveillance tasks. Extensive studies have been conducted on movement mechanisms of traditional hard-bodied robots to increase their mobility. However, there are limited efforts in the literature to explore the mobility of soft robots. In addition, little attempt has been made to study the obstacle-detection capability of a soft mobile robot. In this paper, we develop a soft mobile robot capable of high mobility and self-sensing for obstacle detection and avoidance. This robot, consisting of a dielectric elastomer actuator as the robot body and four electroadhesion actuators as the robot feet, can generate 2D mobility, i.e. translations and turning in a 2D plane, by programming the actuation sequence of the robot body and feet. Furthermore, we develop a self-sensing method which models the robot body as a deformable capacitor. By measuring the real-time capacitance of the robot body, the robot can detect an obstacle when the peak capacitance drops suddenly. This sensing method utilizes the robot body itself instead of external sensors to achieve detection of obstacles, which greatly reduces the weight and complexity of the robot system. The 2D mobility and self-sensing capability ensure the success of obstacle detection and avoidance, which paves the way for the development of lightweight and intelligent soft mobile robots.
机译:由于其有趣的属性包括包括固有的灵活性,极端适应性以及在受限空间中移动的优异能力,因此柔软的机器人对监视应用的潜力巨大。高迁移率与可以检测障碍物的传感系统相结合,在执行监控任务方面发挥着重要作用。在传统硬体机器人的运动机制上进行了广泛的研究,以增加其流动性。然而,文献中有限努力探索软机器人的移动性。此外,还努力研究软移动机器人的障碍检测能力。在本文中,我们开发了一种能够具有高流动性和自感的软移动机器人,用于障碍物检测和避免。该机器人包括作为机器人主体的介电弹性体致动器和作为机器人脚的四个电粘附致动器,可以通过编程机器人身体和脚的致动序列来产生2D移动性,即在2D平面中转动。此外,我们开发一种自感应方法,将机器人身体塑造为可变形电容器。通过测量机器人身体的实时电容,当峰值电容突然下降时,机器人可以检测到障碍物。该感测方法利用机器人体本身而不是外部传感器来实现障碍物的检测,这大大降低了机器人系统的重量和复杂性。 2D移动性和自感能力确保了障碍物检测和避免的成功,为轻质和智能移动机器人的发展铺平了道路。

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