首页 /研究 /A Comparative Evaluation of Exploration Strategies and Heuristics to Improve Them
OTHER

A Comparative Evaluation of Exploration Strategies and Heuristics to Improve Them

Dirk Holz, Nicola Basilico, Francesco Amigoni, Sven Behnke

发表年份
2011
引用次数
26

摘要

Exploration strategies play an important role in influencing the performance of an autonomous mobile robot exploring and mapping an unknown environment. Although several exploration strategies have been proposed in the last years, their experimental evaluation and comparison are still largely unaddressed. In this paper, we quantitatively evaluate exploration strategies by experimentally comparing, in a simulation setting, a representative sample of techniques taken from literature. From a broader perspective, our work also contributes to the development of good experimental methodologies in the field of autonomous mobile robotics by promoting the principles of comparison, reproducibility, and repeatability of experiments.

关键词

Perspective (graphical)Artificial intelligenceComputer scienceRoboticsHeuristicsField (mathematics)Sample (material)Mobile robotHuman–computer interactionManagement science

相关论文

查看 OTHER 分类全部论文