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Adaptive control method for an undulatory robot inspired from a Leech's nervous system

机译:受水ch神经系统启发的波动机器人的自适应控制方法

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Many mobile robots using undulatory locomotion have been developed for search or rescue operations in narrow or dangerous places where people cannot enter, because undulatory locomotion can be employed for locomotion in various environments. However, an environmental change will require a mobile robot to change the pattern of undulatory locomotion. Recent studies showed that a leech changes its undulatory locomotion pattern depending on changes in the environment, and this is derived from sensory feedback from the muscle strain to the central nervous system. We propose an adaptive control method for a mobile robot that is inspired by the leech's adaptive locomotion. First, we make clear the role of this adaptive behavior of a leech by using the numerical leech model proposed in the preceding study. After that, we construct the simplified adaptive control method that simulates the leech's adaptive nervous system. Finally, we evaluate the effectiveness of our proposed control method with a numerical model. Our study showed that the proposed adaptive control method achieves regulation of body load due to the fluid despite a change in the fluid viscosity. Moreover, our control method reproduced the adaptive behavior of a living leech to changes in the fluid viscosity.
机译:已经开发出许多使用波动运动的移动机器人,用于在人们无法进入的狭窄或危险的地方进行搜索或营救操作,因为波动运动可用于各种环境中的运动。但是,环境变化将需要移动机器人更改波动运动的模式。最近的研究表明,水ech会根据环境的变化而改变其起伏运动模式,这是从肌肉劳损到中枢神经系统的感觉反馈中得出的。我们提出了一种受水ech自适应运动启发的移动机器人自适应控制方法。首先,我们通过使用先前研究中提出的数值水ech模型,明确了水ech这种适应行为的作用。之后,我们构建了简化的自适应控制方法,该方法可模拟水ech的自适应神经系统。最后,我们用数值模型评估了所提出的控制方法的有效性。我们的研究表明,尽管流体粘度发生了变化,但所提出的自适应控制方法仍可实现对由于流体引起的人体负荷的调节。而且,我们的控制方法再现了活水le对流体粘度变化的适应性行为。

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