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Attitude interpolation of B-spline curve based on modified Rodrigues parameters

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conference contribution
posted on 2025-01-10, 14:54 authored by Kai Zhang, Yuantian Qin, Zhehang Yin, Vadim SilberschmidtVadim Silberschmidt
To improve the continuity of robot’s attitude interpolation, a method is proposed to swiftly create a seamless quaternion spline curve by mapping a quaternion rotation space to a three-dimensional(3D) space spline interpolation curve using modified Rodrigues parameters. Initially, a function based on the modified Rodrigues parameters is formulated to facilitate the mapping from the quaternion space to 3D one. Subsequently, a cubic quasi-uniform B-spline interpolation theory in the 3D space is employed to construct the interpolation function, ensuring that it passes through specified key attitude interpolation points and achieves C2 continuity of the attitude interpolation curve. Consequently, the accuracy and smoothness of the proposed method for quaternion multi-attitude interpolation are verified with simulations. The results demonstrate that this method achieves smooth interpolation between multiple attitude quaternions. Furthermore, this approach is characterized by its simple construction function, ease of implementation, intuitive nature, and comprehensibility, thus providing valuable insights for smooth quaternion spline-curve interpolation.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

AIAHPC '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Automation and High Performance Computing

Pages

390 - 397

Source

AIAHPC 2024: International Conference on Artificial Intelligence, Automation and High Performance Computing

Publisher

ACM

Version

  • AM (Accepted Manuscript)

Rights holder

© Copyright held by the owner/author(s).

Publisher statement

© Copyright held by the owner/author(s) / 2024. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in AIAHPC '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Automation and High Performance Computing, https://doi.org/10.1145/3690931.3690997.

Publication date

2024-10-04

Copyright date

2024

ISBN

9798400710049

Language

  • en

Depositor

Prof Vadim Silberschmidt. Deposit date: 4 January 2025

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