三次元環境のマルチロボット探索における体積目的関数
Volumetric Objectives for Multi-Robot Exploration of Three-Dimensional Environments
未知環境を探索するロボットのための体積目的関数を分析し、情報理論的目的と被覆目的の関係を明らかにするとともに、実践では被覆目的が情報目的を大きく上回ることを示した。
著者: Micah Corah, Nathan Michael
分類: cs.RO
原文アブストラクト
Volumetric objectives for exploration and perception tasks seek to capture a sense of value (or reward) for hypothetical observations at one or more camera views for robots operating in unknown environments. For example, a volumetric objective may reward robots proportionally to the expected volume of unknown space to be observed. We identify connections between existing information-theoretic and coverage objectives in terms of expected coverage, particularly that mutual information without noise is a special case of expected coverage. Likewise, we provide the first comparison, of which we are aware, between information-based approximations and coverage objectives for exploration, and we find, perhaps surprisingly, that coverage objectives can significantly outperform information-based objectives in practice. Additionally, the analysis for information and coverage objectives demonstrates that Randomized Sequential Partitions -- a method for efficient distributed sensor planning -- applies for both classes of objectives, and we provide simulation results in a variety of environments for as many as 32 robots.
