在轻拍扫描过程中,Aye-aye中指的运动学建模和运动跟踪

Nihar Masurkar , Jiming Kang , Hamidreza Nemati , Ehsan Dehghan-Niri
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引用次数: 0

摘要

马达加斯加狐猴(Daubentonia Madagascar)是一种夜间活动的狐猴,原产于马达加斯加岛,具有独特的细中指。它细长的第三根手指具有非常特殊的适应性,使它们能够通过轻拍扫描来定位树皮下的小洞,并从中提取蛀木幼虫。作为一种特殊的主动声学驱动器,这种手指使aye-aye的生物系统成为开创性的无损评估(NDE)方法和机器人系统的一个有吸引力的模型。尽管该主题在aye-aye独特的觅食及其对工程感官的潜在贡献方面具有重要意义,但对这种独特手指的机制和动力学知之甚少。本文采用同步视频图像捕捉的方法对中指进行运动跟踪。为了模拟运动,设计了一个双连杆机械臂模型来再现运动轨迹。提出了用拉格朗日方法推导中指运动的运动学公式。此外,开发了一个硬件模型来模拟aye-aye的手指运动。为了验证该模型,比较了不同的运动状态,如轨迹路径和关节角度。仿真结果表明,该模型的运动学与实际手指运动基本一致。该模型用于了解aye-aye独特的轻叩扫描过程,为各种检测应用开创了新的轻叩测试NDE策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aye-aye middle finger kinematic modeling and motion tracking during tap-scanning

The aye-aye (Daubentonia madagascariensis) is a nocturnal lemur native to the island of Madagascar with a unique thin middle finger. Its slender third digit has a remarkably specific adaptation, allowing them to perform tap-scanning to locate small cavities beneath tree bark and extract wood-boring larvae from it. As an exceptional active acoustic actuator, this finger makes an aye-aye’s biological system an attractive model for pioneering Nondestructive Evaluation (NDE) methods and robotic systems. Despite the important aspects of the topic in the aye-aye’s unique foraging and its potential contribution to the engineering sensory, little is known about the mechanism and dynamics of this unique finger. This paper used a motion-tracking approach for the aye-aye’s middle finger using simultaneous video graphic capture. To mimic the motion, a two-link robot arm model is designed to reproduce the trajectory. Kinematics formulations were proposed to derive the motion of the middle finger using the Lagrangian method. In addition, a hardware model was developed to simulate the aye-aye’s finger motion. To validate the model, different motion states such as trajectory paths and joint angles, were compared. The simulation results indicate the kinematics of the model were consistent with the actual finger movement. This model is used to understand the aye-aye’s unique tap-scanning process for pioneering new tap-testing NDE strategies for various inspection applications.

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