基于边界的勘探算法中使用的效用函数和成本函数综述

Daniel Louback da Silva Lubanco, Markus Pichler-Scheder, T. Schlechter, Martin Scherhäufl, C. Kastl
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引用次数: 1

摘要

基于边界的探索可以在广泛的机器人应用中使用。例如,探索算法的一个常见应用是在城市搜索和救援(USAR)中。为了确定机器人下一步要去的地方,经常使用基于边界的探索中的成本或效用函数。在本文中,我们比较了科学界已知的五种不同的成本或效用函数,这些函数用于基于边界的勘探算法。本文旨在解决两个主要目标:(1)提供和解释在探索问题中使用的效用和成本函数,以及如何实现它们的步骤;(2)在模拟环境下展示各算法的结果。最后,讨论了不同勘探方法的特点和显著差异,以及这些差异所带来的后果。
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A Review of Utility and Cost Functions Used in Frontier-Based Exploration Algorithms
Frontier-based exploration can be used in a wide-range of robotics applications. For example, a common utilization of exploration algorithms is in Urban Search and Rescue (USAR). In order to define the next place a robot shall visit, cost or utility functions in frontier-based exploration are often employed. In this paper we compare five different cost or utility functions known in the scientific community which are used in frontierbased exploration algorithms. This paper seeks to address two main goals: (1) to provide and explain utility and cost functions which are used in the exploration problem along with steps of how to implement them; (2) to show the results of each algorithm using a simulated environment. Finally, a discussion about the peculiarities and notable differences between the exploration methods as well as the consequences of their differences is presented.
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