基于自然动力学的弹性蛇形机器人运动

IF 5.3 2区 计算机科学 Q2 ROBOTICS
IEEE Robotics and Automation Letters Pub Date : 2026-07-01 Epub Date: 2026-03-11 DOI:10.1109/LRA.2026.3692039
Tristan Ehlert;Arne Sachtler;Annika Schmidt;Davide Calzolari;Alin Albu-Schäffer
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引用次数: 0

摘要

《自然》表明,利用机器人系统的弹性和自然动力学可以提高它们的运动效率。先前关于弹性蛇形机器人的工作支持这一假设,但尚未充分利用系统的非线性动态行为。特征流形理论的最新进展使复杂非线性系统的自然动力学特性得到了更好的表征。本文研究了弹性蛇形运动学机器人的非线性自然动力学是否以及如何用于设计高效的步态。提出了两种基于自然动力学的步态,并与使用动力学仿真的最新方法进行了比较。结果表明,在两种非线性正态模式之间切换产生的步态并不能提高机器人的运动效率。相反,基于非制动周期轨迹(非制动轨道)的步态在能量守恒情况下是完全有效的。进一步的摩擦仿真表明,在更现实的情况下,与刚性系统上的基线步态相比,非制动轨道步态具有更高的效率。总的来说,这项研究为基于自然动力学的步态设计提供了有希望的见解,促进了进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Locomotion of an Elastic Snake Robot via Natural Dynamics
Nature suggests that exploiting the elasticities and natural dynamics of robotic systems could increase their locomotion efficiency. Prior work on elastic snake robots supports this hypothesis, but has not fully exploited the nonlinear dynamic behavior of the systems. Recent advances in eigenmanifold theory enable a better characterization of the natural dynamics in complex nonlinear systems. This letter investigates if and how the nonlinear natural dynamics of a kinematic elastic snake robot can be used to design efficient gaits. Two types of gaits based on natural dynamics are presented and compared to a state-of-the-art approach using dynamics simulations. The results reveal that a gait generated by switching between two nonlinear normal mode does not improve the locomotion efficiency of the robot. In contrast, gaits based on non-brake periodic trajectories (non-brake orbit) are perfectly efficient in the energy-conservative case. Further simulations with friction reveal that, in a more realistic scenario, non-brake orbit gaits achieve higher efficiency compared to the baseline gait on the rigid system. Overall, the investigation offers promising insights into the design of gaits based on natural dynamics, fostering further research.
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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