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利用软机器人的力学不稳定性:控制、传感和驱动。

Exploiting Mechanical Instabilities in Soft Robotics: Control, Sensing, and Actuation.

机构信息

School of Industrial Engineering, Purdue University, 315 N. Grant Street, West Lafayette, IN, 47907, USA.

Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Heisenbergstraße 3, 70569, Stuttgart, Germany.

出版信息

Adv Mater. 2021 May;33(19):e2006939. doi: 10.1002/adma.202006939. Epub 2021 Mar 31.

Abstract

The rapidly expanding field of soft robotics has provided multiple examples of how entirely soft machines and actuators can outperform conventional rigid robots in terms of adaptability, maneuverability, and safety. Unfortunately, the soft and flexible materials used in their construction impose intrinsic limitations on soft robots, such as low actuation speeds and low output forces. Nature offers multiple examples where highly flexible organisms exploit mechanical instabilities to store and rapidly release energy. Guided by these examples, researchers have recently developed a variety of strategies to overcome speed and power limitations in soft robotics using mechanical instabilities. These mechanical instabilities provide, through rapid transitions from structurally stable states, a new route to achieve high output power amplification and attain impressive actuation speeds. Here, an overview of the literature related to the development of soft robots and actuators that exploit mechanical instabilities to expand their actuation speed, output power, and functionality is presented. Additionally, strategies using structural phase transitions to address current challenges in the area of soft robotic control, sensing, and actuation are discussed. Approaches using instabilities to create entirely soft logic modules to imbue soft robots with material intelligence and distributed computational capabilities are also reviewed.

摘要

快速发展的软机器人领域提供了多个例子,说明完全由软机器和致动器组成的机器人如何在适应性、机动性和安全性方面优于传统的刚性机器人。不幸的是,它们的结构中使用的软、柔性材料对软机器人施加了固有限制,例如较低的驱动速度和较低的输出力。自然界提供了多个例子,说明高度灵活的生物如何利用机械不稳定性来储存和快速释放能量。受这些例子的启发,研究人员最近开发了多种策略,利用机械不稳定性来克服软机器人在速度和功率方面的限制。这些机械不稳定性通过从结构稳定状态的快速转变,提供了一种实现高输出功率放大和达到令人印象深刻的驱动速度的新途径。本文综述了利用机械不稳定性来提高软机器人的驱动速度、输出功率和功能的软机器人和致动器的文献。此外,还讨论了利用结构相变来解决软机器人控制、传感和驱动领域当前挑战的策略。还回顾了利用不稳定性来创建完全软逻辑模块,为软机器人赋予材料智能和分布式计算能力的方法。

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