| Title: | GS8-2 Localization Method of Autonomous Moving Robot for Forest Industry |
|---|---|
| Publication: | ICAROB2017 |
| Volume: | 22 |
| Pages: | 376-379 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2017.GS8-2 |
| Author(s): | Ayumu Tominaga, Eeigi Hayashi, T. Sasao |
| Publication Date: | January 19, 2017 |
| Keywords: | Forest industry, Autonomous moving, Monte Carlo localization, Particle filter |
| Abstract: | In this study, we are developing an autonomous moving robot for labor-saving in forest industry. Traditional forest management and maintenance consumes excessive labor time. Particularly, the survey and weeding in the forest place large labor burden on the workers. Therefore, the robot which has the weeding mechanism can achieve to reduce the workload. In this paper, we discuss about localize of the robot in the forest. The Monte Carlo is applied for localization, and we are considering basic system. |
| PDF File: | https://alife-robotics.co.jp/members2017/icarob/data/html/data/GS_pdf/GS8/GS8-2.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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