机器人优化问题可靠解的追求

Ricardo Soto , Stéphane Caro , Broderick Crawford
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引用次数: 4

摘要

在机器人技术中,位姿误差被称为给定机械系统的位置和旋转误差。这些误差通常是由连接部件之间的相互作用产生的,通常称为连接间隙。位姿误差的预测可以通过两个连续域的优化模型来实现,这两个优化模型属于NP-Hard类问题。本文的重点是用约束规划的方法为这一问题提供严格可靠的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Pursuit of Reliable Solutions for a Robotic Optimization Problem

In robotics, pose errors are known as positional and rotational errors of a given mechanical system. Those errors are commonly produced by the play among joined components, commonly known as joint clearances. Predicting pose errors can be done via the formulation of two optimization models holding continuous domains, which belong to the NP-Hard class of problems. This paper focuses on providing rigorous and reliable solution to this problem by using constraint programing.

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