| タイトル | Information Foraging and Change Detection for Automated Science Exploration |
| 本文（外部サイト） | http://hdl.handle.net/2060/20160011185 |
| 著者（英） | Furlong, P. Michael; Dille, Michael |
| 著者所属（英） | NASA Ames Research Center |
| 発行日 | 2016-08-01 |
| 言語 | eng |
| 内容記述 | This paper presents a new algorithm for autonomous on-line exploration in unknown environments. The objective is to free remote scientists from possibly-infeasible extensive preliminary site investigation prior to sending robotic agents. We simulate a common exploration task for an autonomous robot sampling the environment at various locations and compare performance against simpler control strategies. An extension is proposed and evaluated that further permits operation in the presence of environmental variability in which the robot encounters a change in the distribution underlying sampling targets. Experimental results indicate a strong improvement in performance across varied parameter choices for the scenario. |
| NASA分類 | Lunar and Planetary Science and Exploration; Computer Programming and Software |
| レポートNO | ARC-E-DAA-TN34779
NASA/TM-2016-219377 |
| 権利 | Copyright, Distribution under U.S. Government purpose rights |
