| Title: | OS2-6 Enhancement of Mobile Robot Stability and Hardware Based on Reinforcement Learning |
|---|---|
| Publication: | ICAROB2018 |
| Volume: | 23 |
| Pages: | 302-305 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2018.OS2-6 |
| Author(s): | Ki-Seo Kim, Jeong-Hwan Moon, Jang-Myung Lee |
| Publication Date: | February 2, 2018 |
| Keywords: | |
| Abstract: | In this paper, we apply the obstacle avoidance run reinforcement learning algorithm used in the mobile robot using the LiDAR sensor. Q-learning and Deep Learning were applied to reinforcement learning algorithms. We solve the unnatural movements in the deceleration and acceleration of the robot using feedback learning. The results of simulation are applied to actual hardware to show how to increase the safety of driving. |
| PDF File: | https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS2/OS2-6.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/ |
(c)2008 Copyright The Regents of ALife Robotics Corporation Ltd. All Rights Reserved.