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Updated: May 17, 2025

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
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为不确定空间位移而建立信任区域,具有双重罗德里格斯参数

Zihan Yu1, Qiaode Jeffrey Ge1, Mark P Langer2

  • 1Computational Design Kinematics Lab, Stony Brook University, SUNY, Stony Brook, New York, 11794-2300.

Proceedings of the ... ASME Design Engineering Technical Conferences. ASME Design Engineering Technical Conferences
|March 31, 2025
PubMed
概括

本研究引入了一种使用双四次子和双罗德里格斯参数的新方法,用于计算动力学信心区域. 这种方法比现有的旋转和转移保证限值 (RTCL) 方法提供了更准确和更紧的扫描量.

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