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自我调节植物机器人:受生物启发的向阳性和感夜性。

Self-Regulating Plant Robots: Bioinspired Heliotropism and Nyctinasty.

作者信息

Cezan Suleyman Doruk, Baytekin Hasan Tarik, Baytekin Bilge

机构信息

Department of Chemistry, Bilkent University, Ankara, Turkey.

UNAM-Materials Science and Nanotechnology Institute, Bilkent University, Ankara, Turkey.

出版信息

Soft Robot. 2020 Aug;7(4):444-450. doi: 10.1089/soro.2019.0036. Epub 2020 Jan 28.

Abstract

Self-regulation (or so-called homeostasis) is a property of all living organisms to maintain an internal stable state through specialized biofeedback mechanisms under varying external and internal conditions. Although these feedback mechanisms in living organisms are complex networks and hard to implement one-to-one in artificial systems, the new approaches in soft robotics may benefit from the concept of self-regulation-especially in the new endeavors of making untethered, autonomous soft robots. In this study, we show a simple system, in which plant robots display heliotropism (sun tracking) and nyctinasty (leaf opening) through artificial self-regulation attained through a bioinspired transpiration mechanism. The feedback involves dehydration/hydration and transpiration events that keep the stem continuously in a metastable position, which maximizes light on plant leaves and the efficiency of light harvesting when solar panels are attached on leaves. We also demonstrate that this artificial feedback can be regulated by doping with light-absorbing chemicals or by changing the geometry of the system, and it can further be expanded to other lightweight systems. Implementing self-regulation into (soft) robots through bioinspired material feedback is beneficial not only for energy efficiency and harvesting but also for achieving embodied intelligence in autonomous soft robots.

摘要

自我调节(或所谓的内稳态)是所有生物的一种特性,即通过专门的生物反馈机制在变化的外部和内部条件下维持内部稳定状态。尽管生物体中的这些反馈机制是复杂的网络,难以在人工系统中一一实现,但软机器人技术的新方法可能会从自我调节的概念中受益——尤其是在制造无系绳自主软机器人的新尝试中。在本研究中,我们展示了一个简单的系统,其中植物机器人通过受生物启发的蒸腾机制实现的人工自我调节来表现出向日性(太阳追踪)和感夜性(叶片开合)。这种反馈涉及脱水/水合和蒸腾事件,这些事件使茎持续处于亚稳态位置,当在叶片上安装太阳能板时,能使植物叶片上的光照最大化以及光捕获效率最大化。我们还证明,这种人工反馈可以通过掺杂吸光化学物质或改变系统几何形状来调节,并且可以进一步扩展到其他轻质系统。通过受生物启发的材料反馈将自我调节应用于(软)机器人,不仅有利于能源效率和能量收集,还有利于在自主软机器人中实现具身智能。

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