粗糙平面地形质心估计的几何方法

Luenin Barrios, Wei-Min Shen
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摘要

复杂的人体动力学影响了粗糙地形的质心估计,但在人类和机器人运动规划研究中仍具有重要意义。目前的CoM估计技术受到需要使用专门工具(测力板、动作捕捉等)的漫长校准周期的阻碍。本文提出了一种新的、直观的平面粗糙地形CoM估计几何方法,该方法仅依赖于环境的几何信息和运动体的基本知识。利用接触足位置的简化模型和曲率和长度最小的优化几何赫米特(OGH)曲线来逼近接触面。为了评估该方法的准确性,对人类受试者进行了交叉验证。结果表明,几何方法可以准确地逼近粗糙平面地形上自然行走的CoM路径,为CoM估计提供了一种可靠的替代方法。
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A geometric method for center of mass estimation in rough planar terrains
Center of Mass(CoM) estimation in rough terrains is hampered by complicated body dynamics yet remains critically important in the study of human and robot motion planning. Current techniques for CoM estimation are encumbered by lengthy calibration periods requiring the use of specialized tools(force plates, motion capture, etc). This paper presents a novel and straightforward geometric method for CoM estimation over rough planar terrains that relies solely on geometry information of the environment and essential knowledge of the kinematic body. The CoM is approximated using a simplified model of the contact foot locations and an Optimized Geometric Hermite(OGH) curve with minimum curvature and length. To evaluate the accuracy of the method, cross validation with human subjects was performed. The results demonstrate that the geometric method delivers an accurate approximation of the CoM path for natural walking over rough planar terrains and offers a reliable alternative for CoM estimation.
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