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Automated physiological recovery of avocado plants for plant-based adaptive machines

机译：鳄梨植物的基于植物的自适应机器自动生理恢复

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摘要

Interfacing robots with real biological systems is a potential approach to realizing truly adaptive machines, which is a long-standing engineering challenge. Although plants are widely spread and versatile, little attention has been given to creating cybernetic systems incorporating plants. Producing such systems requires two main steps: the acquisition and interpretation of biological signals, and issuing the appropriate stimulation signals for controlling the physiological response of the biological part. We investigate an automated physiological recovery of young avocado plants by realizing a closed interaction loop between the avocado plant and a water-control device. The study considers the two aforementioned steps by reading out postural cues (leaf inclination) and electrophysiological (biopotential) signals from the plant, and controlling the water resource adaptive to the drought condition of an avocado plant. Analysis of the two signals reveals time-frequency patterns of increased power and global synchronization in the narrow bands when water is available, and local synchronization in the broad bands for water shortage. The results indicate the feasibility of interface technologies between plants and machines, and provide preliminary support for achieving adaptive plant-based 'machines' based on plants' large and robust physiological spectrum and machines' control scheme diversity. We further discuss fundamental impediments hindering the use of living organisms like plants for artificial systems.
机译：将机器人与真实的生物系统连接是实现真正的自适应机器的一种潜在方法，这是一项长期的工程挑战。尽管植物分布广泛且用途广泛，但很少有人关注创建包含植物的控制论系统。生产这样的系统需要两个主要步骤：生物信号的获取和解释，以及发出适当的刺激信号以控制生物部分的生理反应。我们通过实现鳄梨植物和水控制设备之间的封闭的交互回路，研究了鳄梨幼苗的自动生理恢复。该研究通过从植物中读取姿势提示（叶片倾角）和电生理（生物电势）信号，并控制鳄梨植物干旱条件下的水资源来考虑上述两个步骤。对这两个信号的分析揭示了在可用水时在窄带中功率增加和全局同步的时频模式，以及在缺水时在宽带中的局部同步。研究结果表明了植物与机器之间接口技术的可行性，并为基于植物强大而健壮的生理频谱和机器控制方案多样性而实现基于植物的自适应“机器”提供了初步的支持。我们进一步讨论了阻碍将诸如植物之类的活生物体用于人工系统的基本障碍。

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  • 来源
    《Adaptive Behavior》 |2014年第2期|109-122|共14页
  • 作者

    Dana D Damian; Shuhei Miyashita; Atsushi Aoyama; Dominique Cadosch; Po-Ting Huang; Michael Ammann; Rolf Pfeifer;

  • 作者单位

    Department of Informatics, University of Zurich, Switzerland,Boston Children's Hospital, Harvard University, 330 Longwood Avenue, Enders bid. 353, Boston, MA 021 15, USA;

    Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA;

    Faculty of Environment and Information Studies, Shonan Fujisawa Campus (SFC), Keio University, Japan,Research Institute for Science and Technology, Tokyo Denki University, Japan;

    institute for Integrative Biology, ETH Zurich, Switzerland;

    Department of Applied Electronics Technology, National Taiwan Normal University, Taiwan;

    Department of Informatics, University of Zurich, Switzerland;

    Department of Informatics, University of Zurich, Switzerland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Automated physiological recovery; plant-machine interface; avocado plant;

    机译：自动生理恢复;工厂-机器接口;鳄梨植物;

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