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植物仿生生态机器人学。

Plant Bioinspired Ecological Robotics.

作者信息

Frazier P Adrian, Jamone Lorenzo, Althoefer Kaspar, Calvo Paco

机构信息

MINTLab - Minimal Intelligence Lab, Universidad de Murcia, Murcia, Spain.

Center for the Ecological Study of Perception and Action University of Connecticut, Storrs, CT, United States.

出版信息

Front Robot AI. 2020 Jul 14;7:79. doi: 10.3389/frobt.2020.00079. eCollection 2020.

Abstract

Plants are movers, but the nature of their movement differs dramatically from that of creatures that move their whole body from point A to point B. Plants grow to where they are going. Bio-inspired robotics sometimes emulates plants' growth-based movement; but growing is part of a broader system of movement guidance and control. We argue that ecological psychology's conception of "information" and "control" can simultaneously make sense of what it means for a plant to navigate its environment and provide a control scheme for the design of ecological plant-inspired robotics. In this effort, we will outline several control laws and give special consideration to the class of control laws identified by tau theory, such as time to contact.

摘要

植物是移动者,但其运动的本质与那些将整个身体从A点移动到B点的生物截然不同。植物朝着它们要去的地方生长。受生物启发的机器人技术有时会模仿植物基于生长的运动;但生长是更广泛的运动引导和控制系统的一部分。我们认为,生态心理学中“信息”和“控制”的概念可以同时理解植物在其环境中导航的意义,并为设计受生态植物启发的机器人提供一种控制方案。在这项工作中,我们将概述几种控制定律,并特别考虑由时间到接触等tau理论所确定的控制定律类别。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bf5/7805641/cf1af641ce3e/frobt-07-00079-g0001.jpg

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