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无肢动物的连续身体 3D 重建。

Continuous body 3-D reconstruction of limbless animals.

机构信息

Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.

Department of Mechanical Engineering, National University of Singapore, 117575, Singapore.

出版信息

J Exp Biol. 2021 Mar 12;224(Pt 6):jeb220731. doi: 10.1242/jeb.220731.

Abstract

Limbless animals such as snakes, limbless lizards, worms, eels and lampreys move their slender, long bodies in three dimensions to traverse diverse environments. Accurately quantifying their continuous body's 3-D shape and motion is important for understanding body-environment interactions in complex terrain, but this is difficult to achieve (especially for local orientation and rotation). Here, we describe an interpolation method to quantify continuous body 3-D position and orientation. We simplify the body as an elastic rod and apply a backbone optimization method to interpolate continuous body shape between end constraints imposed by tracked markers. Despite over-simplifying the biomechanics, our method achieves a higher interpolation accuracy (∼50% error) in both 3-D position and orientation compared with the widely used cubic B-spline interpolation method. Beyond snakes traversing large obstacles as demonstrated, our method applies to other long, slender, limbless animals and continuum robots. We provide codes and demo files for easy application of our method.

摘要

无肢动物(如蛇、无肢蜥蜴、蠕虫、鳗鱼和七鳃鳗)通过其细长的身体在三维空间中移动,以穿越各种环境。准确量化它们连续的三维身体形状和运动对于理解在复杂地形中的身体与环境的相互作用非常重要,但这很难实现(尤其是对于局部定位和旋转)。在这里,我们描述了一种用于量化连续身体三维位置和方向的插值方法。我们将身体简化为弹性杆,并应用骨干优化方法在由跟踪标记器施加的末端约束之间插值连续的身体形状。尽管简化了生物力学,但与广泛使用的三次 B 样条插值方法相比,我们的方法在三维位置和方向上都实现了更高的插值精度(约 50%的误差)。除了演示蛇类穿越大型障碍物之外,我们的方法还适用于其他长而细长的无肢动物和连续体机器人。我们提供代码和演示文件,以便轻松应用我们的方法。

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