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无脑行走:动物步态源自执行器特性。

Brainless Walking: Animal Gaits Emerge From an Actuator Characteristic.

作者信息

Masuda Yoichi, Naniwa Keisuke, Ishikawa Masato, Osuka Koichi

机构信息

Department of Mechanical Engineering, Osaka University, Suita, Japan.

Research Institute for Electronic Science, Hokkaido University, Sapporo, Japan.

出版信息

Front Robot AI. 2021 Apr 29;8:629679. doi: 10.3389/frobt.2021.629679. eCollection 2021.

DOI:10.3389/frobt.2021.629679
PMID:33996924
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8117010/
Abstract

In this study, we discovered a phenomenon in which a quadruped robot without any sensors or microprocessor can autonomously generate the various gait patterns of animals using actuator characteristics and select the gaits according to the speed. The robot has one DC motor on each limb and a slider-crank mechanism connected to the motor shaft. Since each motor is directly connected to a power supply, the robot only moves its foot on an elliptical trajectory under a constant voltage. Although this robot does not have any computational equipment such as sensors or microprocessors, when we applied a voltage to the motor, each limb begins to adjust its gait autonomously and finally converged to a steady gait pattern. Furthermore, by raising the input voltage from the power supply, the gait changed from a pace to a half-bound, according to the speed, and also we observed various gait patterns, such as a bound or a rotary gallop. We investigated the convergence property of the gaits for several initial states and input voltages and have described detailed experimental results of each gait observed.

摘要

在本研究中,我们发现了一种现象:一个没有任何传感器或微处理器的四足机器人能够利用执行器特性自主生成动物的各种步态模式,并根据速度选择步态。该机器人每条腿上有一个直流电机,还有一个连接到电机轴的曲柄滑块机构。由于每个电机都直接连接到电源,机器人在恒定电压下仅使脚在椭圆形轨迹上移动。尽管这个机器人没有任何诸如传感器或微处理器之类的计算设备,但当我们给电机施加电压时,每个肢体开始自主调整其步态,最终收敛到一种稳定的步态模式。此外,通过提高电源的输入电压,步态会根据速度从慢步变为半步,并且我们还观察到了各种步态模式,如跳跃或旋转疾驰。我们研究了几种初始状态和输入电压下步态的收敛特性,并描述了观察到的每种步态的详细实验结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/a2b839c64eb8/frobt-08-629679-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/a6f300d78987/frobt-08-629679-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/5b45ab7d0b45/frobt-08-629679-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/50558b1af7ca/frobt-08-629679-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/d06b57586c47/frobt-08-629679-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/fe238903f127/frobt-08-629679-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/4c4ddc626871/frobt-08-629679-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/7f6554331923/frobt-08-629679-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/dc3566fa0aa6/frobt-08-629679-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/b864a14b5d60/frobt-08-629679-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/6d696b16111c/frobt-08-629679-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/97441ae656d7/frobt-08-629679-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/a2b839c64eb8/frobt-08-629679-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/a6f300d78987/frobt-08-629679-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/5b45ab7d0b45/frobt-08-629679-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/50558b1af7ca/frobt-08-629679-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/d06b57586c47/frobt-08-629679-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/fe238903f127/frobt-08-629679-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/4c4ddc626871/frobt-08-629679-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/7f6554331923/frobt-08-629679-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/dc3566fa0aa6/frobt-08-629679-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/b864a14b5d60/frobt-08-629679-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/6d696b16111c/frobt-08-629679-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/97441ae656d7/frobt-08-629679-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58be/8117010/a2b839c64eb8/frobt-08-629679-g012.jpg

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本文引用的文献

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Front Neurorobot. 2017 Aug 23;11:39. doi: 10.3389/fnbot.2017.00039. eCollection 2017.
2
A Quadruped Robot Exhibiting Spontaneous Gait Transitions from Walking to Trotting to Galloping.一种能够自主实现从行走、小跑至奔腾步态转换的四足机器人
Sci Rep. 2017 Mar 21;7(1):277. doi: 10.1038/s41598-017-00348-9.
3
A simple rule for quadrupedal gait generation determined by leg loading feedback: a modeling study.
四足机器人在分带跑步机行走过程中肢体间协调反射和学习的快速与慢速适应
Front Robot AI. 2021 Aug 6;8:697612. doi: 10.3389/frobt.2021.697612. eCollection 2021.
基于腿部负载反馈确定的四足步态生成简单规则:一项建模研究。
Sci Rep. 2015 Feb 2;5:8169. doi: 10.1038/srep08169.
4
A stability-based mechanism for hysteresis in the walk-trot transition in quadruped locomotion.基于稳定性的机制解释四足动物行走-小跑转换中的滞后现象。
J R Soc Interface. 2013 Feb 6;10(81):20120908. doi: 10.1098/rsif.2012.0908. Print 2013 Apr 6.
5
Morphological computation of multi-gaited robot locomotion based on free vibration.基于自由振动的多步态机器人运动形态计算。
Artif Life. 2013 Winter;19(1):97-114. doi: 10.1162/ARTL_a_00084. Epub 2012 Nov 27.
6
A muscle-reflex model that encodes principles of legged mechanics produces human walking dynamics and muscle activities.一个肌肉反射模型,它编码了腿部力学的原理,产生了人类行走的动力学和肌肉活动。
IEEE Trans Neural Syst Rehabil Eng. 2010 Jun;18(3):263-73. doi: 10.1109/TNSRE.2010.2047592. Epub 2010 Apr 8.
7
Thomas Graham Brown (1882--1965), Anders Lundberg (1920-), and the neural control of stepping.托马斯·格雷厄姆·布朗(1882 - 1965)、安德斯·伦德伯格(1920 - )与行走的神经控制
Brain Res Rev. 2008 Nov;59(1):74-95. doi: 10.1016/j.brainresrev.2008.06.001. Epub 2008 Jun 9.
8
Central pattern generators for locomotion control in animals and robots: a review.动物和机器人运动控制中的中枢模式发生器:综述
Neural Netw. 2008 May;21(4):642-53. doi: 10.1016/j.neunet.2008.03.014. Epub 2008 May 14.
9
Organization of mammalian locomotor rhythm and pattern generation.哺乳动物运动节律与模式生成的组织
Brain Res Rev. 2008 Jan;57(1):134-46. doi: 10.1016/j.brainresrev.2007.08.006. Epub 2007 Sep 5.
10
Computer simulation of stepping in the hind legs of the cat: an examination of mechanisms regulating the stance-to-swing transition.猫后肢迈步的计算机模拟:对调节站立到摆动转换机制的研究。
J Neurophysiol. 2005 Dec;94(6):4256-68. doi: 10.1152/jn.00065.2005. Epub 2005 Jul 27.