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Tegotae-based decentralised control scheme for autonomous gait transition of snake-like robots

机译:基于Tegotae的蛇形机器人的自主步态过渡的分散控制方案

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Snakes change their locomotion patterns in response to the environment. This ability is a motivation for developing snake-like robots with highly adaptive functionality. In this study, a decentralised control scheme of snake-like robots that exhibited autonomous gait transition (i.e. the transition between concertina locomotion in narrow aisles and scaffold-based locomotion on unstructured terrains) was developed. Additionally, the control scheme was validated via simulations. A key insight revealed is that these locomotion patterns were not preprogrammed but emerged by exploiting Tegotae, a concept that describes the extent to which a perceived reaction matches a generated action. Unlike local reflexive mechanisms proposed previously, the Tegotae-based feedback mechanism enabled the robot to 'selectively' exploit environments beneficial for propulsion, and generated reasonable locomotion patterns. It is expected that the results of this study can form the basis to design robots that can work under unpredictable and unstructured environments.
机译:蛇以响应环境来改变他们的运动模式。这种能力是一种具有高度自适应功能的蛇形机器人的动机。在这项研究中,发育了一种分散的控制方案,其呈现自主步态过渡的蛇状机器人(即狭长过道中的狭称过道和基于脚手架的机置的转型)。另外,通过模拟验证控制方案。揭示的关键洞察力是,这些运动模式不是预先编程的,而是通过利用Tegotae而出现,该概念描述了一种感知反应与产生的作用匹配的程度。与先前提出的本地反射机制不同,基于TEGOTA的反馈机制使机器人能够“选择性地”利用有利于推进的环境,并产生合理的运动模式。预计本研究的结果可以构成设计机器人的基础,可以在不可预测和非结构化的环境下工作。

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