特殊欧几里得群 SE(3) 上有约束和无约束静态优化的数值方法

IF 1.6 3区 数学 Q2 MATHEMATICS, APPLIED Journal of Optimization Theory and Applications Pub Date : 2024-04-11 DOI:10.1007/s10957-024-02431-4
Brennan McCann, Morad Nazari, Christopher Petersen
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引用次数: 0

摘要

本文研究了刚体运动群黎曼流形上的刚体静态优化。这个流形也是一个矩阵流形,它提供了一个框架来表述刚体的平移和旋转运动,同时考虑了这些运动之间的任何耦合,并使用特殊正交群(\textsf{SO}(3)\)的成员来表示旋转。因此,它被称为特殊欧几里得群((\textsf{SE}(3)\))。在 \(\textsf{SE}(3)\) 上的刚体运动形式主义不会受到与姿态参数化集相关的奇异性或非唯一性问题的影响。利用黎曼矩阵流形及其度量,提出了无约束静态优化的通用框架和可定制的约束静态优化框架,为刚体运动在(textsf{SE}(3)\)及其切线束上的动态优化奠定了基础。从刚体运动的角度对黎曼流形的研究为刚体运动的优化提供了精确的工具,避免了使用姿态参数化集在旋转运动表示中可能出现的偏差。
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Numerical Approaches for Constrained and Unconstrained, Static Optimization on the Special Euclidean Group SE(3)

In this paper, rigid body static optimization is investigated on the Riemannian manifold of rigid body motion groups. This manifold, which is also a matrix manifold, provides a framework to formulate translational and rotational motions of the body, while considering any coupling between those motions, and uses members of the special orthogonal group \(\textsf{SO}(3)\) to represent the rotation. Hence, it is called the special Euclidean group \(\textsf{SE}(3)\). Formalism of rigid body motion on \(\textsf{SE}(3)\) does not fall victim to singularity or non-uniqueness issues associated with attitude parameterization sets. Benefiting from Riemannian matrix manifolds and their metrics, a generic framework for unconstrained static optimization and a customizable framework for constrained static optimization are proposed that build a foundation for dynamic optimization of rigid body motions on \(\textsf{SE}(3)\) and its tangent bundle. The study of Riemannian manifolds from the perspective of rigid body motion introduced here provides an accurate tool for optimization of rigid body motions, avoiding any biases that could otherwise occur in rotational motion representation if attitude parameterization sets were used.

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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
149
审稿时长
9.9 months
期刊介绍: The Journal of Optimization Theory and Applications is devoted to the publication of carefully selected regular papers, invited papers, survey papers, technical notes, book notices, and forums that cover mathematical optimization techniques and their applications to science and engineering. Typical theoretical areas include linear, nonlinear, mathematical, and dynamic programming. Among the areas of application covered are mathematical economics, mathematical physics and biology, and aerospace, chemical, civil, electrical, and mechanical engineering.
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