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arXiv 2304.08652cs.RO
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机械智能简化陆生无肢运动的控制

Mechanical Intelligence Simplifies Control in Terrestrial Limbless Locomotion

Institute for Robotics and Intelligent Machines, Georgia Institute of Technology(佐治亚理工学院机器人与智能机器研究所);School of Physics, Georgia Institute of Technology(佐治亚理工学院物理学院);George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology(佐治亚理工学院乔治·W·伍德拉夫机械工程学院);School of Chemical & Biomolecular Engineering, Georgia Institute of Technology(佐治亚理工学院化学与生物分子工程学院)

Tianyu Wang, Christopher Pierce, Velin Kojouharov, Baxi Chong, Kelimar Diaz, Hang Lu, Daniel I. Goldman

AI总结:

本研究通过线虫与机器人对比实验,发现机械智能可简化无肢运动控制,纯开环控制即可复现线虫性能,头部碰撞波反转行为可增强鲁棒性,为无肢机器人设计提供新范式。

摘要:

从微型蠕虫到大型蛇类,无肢运动生物通常利用身体波动波的传播在复杂、异质的自然环境中穿行。理论模型和机器人物理模型通常侧重于身体运动学以及主动的神经/电子控制。但我们认为,由于这类方法往往忽略了被动的机械控制过程(即涉及“机械智能”的过程)的作用,它们甚至无法复现最简单生物的运动性能。为揭示机械智能如何在异质地面动力学环境中辅助无肢运动的原理,我们在异质地形模型(刚性柱格阵)中开展了运动对比研究。我们采用了一种模式生物系统——被广泛研究的线虫Caenorhabditis elegans,以及一种机器人物理装置,其双侧执行器形态可模拟不同尺度无肢生物的形态。该机器人在纯开环控制下,其运动学特性定量复现了线虫的运动性能;机械智能通过降低对主动感知和反馈的需求,简化了障碍物导航与利用的控制过程。在秀丽隐杆线虫中观察到的一种主动行为——头部碰撞时波动波反转——通过利用系统的机械智能增强了运动的鲁棒性。我们的研究揭示了线虫这类神经结构简单的无肢生物如何通过适当调节的双侧驱动,借助机械智能在复杂环境中运动。这些原理可能适用于神经结构更复杂的生物,也为用于搜救、行星探测等场景的无肢机器人提供了一种设计与控制范式。

英文摘要:

Limbless locomotors, from microscopic worms to macroscopic snakes, traverse complex, heterogeneous natural environments typically using undulatory body wave propagation. Theoretical and robophysical models typically emphasize body kinematics and active neural/electronic control. However, we contend that because such approaches often neglect the role of passive, mechanically controlled processes (those involving "mechanical intelligence"), they fail to reproduce the performance of even the simplest organisms. To uncover principles of how mechanical intelligence aids limbless locomotion in heterogeneous terradynamic regimes, here we conduct a comparative study of locomotion in a model of heterogeneous terrain (lattices of rigid posts). We used a model biological system, the highly studied nematode worm Caenorhabditis elegans, and a robophysical device whose bilateral actuator morphology models that of limbless organisms across scales. The robot's kinematics quantitatively reproduced the performance of the nematodes with purely open-loop control; mechanical intelligence simplified control of obstacle navigation and exploitation by reducing the need for active sensing and feedback. An active behavior observed in C. elegans, undulatory wave reversal upon head collisions, robustified locomotion via exploitation of the systems' mechanical intelligence. Our study provides insights into how neurally simple limbless organisms like nematodes can leverage mechanical intelligence via appropriately tuned bilateral actuation to locomote in complex environments. These principles likely apply to neurally more sophisticated organisms and also provide a design and control paradigm for limbless robots for applications like search and rescue and planetary exploration.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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