dc.contributor.author | Eleftheriou, G. | |
dc.contributor.author | Doitsidis, L. | |
dc.contributor.author | Zinonos, Zinon | |
dc.contributor.author | Chatzichristofis, Savvas A. | |
dc.date.accessioned | 2021-02-12T10:44:44Z | |
dc.date.available | 2021-02-12T10:44:44Z | |
dc.date.issued | 2020-06-17 | |
dc.identifier.uri | http://hdl.handle.net/11728/11654 | |
dc.description.abstract | This paper focuses on the optimization of the line-tracking and following control technique used in high speed autonomous movable IoT devices such as line-following robotic vehicles. A fusion of a new pro-active / feed-forward control system, based on the simultaneous use of computer vision and the use of an array of analog infrared reflective phototransistors with an optimised PID based feed-back implementation is proposed. Experimental evaluations demonstrate that the proposed approach aids and improves the performance of line-following robots compared to the traditional PID technique. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | IEEE | en_UK |
dc.relation.ispartofseries | International Conference on Distributed Computing in Sensor Systems, DCOSS;16th IEEE, 25-27 May 2020, Los Angeles, United States | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_UK |
dc.subject | Research Subject Categories::TECHNOLOGY::Information technology | en_UK |
dc.subject | IoT | en_UK |
dc.subject | Robots | en_UK |
dc.subject | control system | en_UK |
dc.subject | fuzzy logic | en_UK |
dc.subject | PID | en_UK |
dc.subject | computer vision | en_UK |
dc.title | A fuzzy rule based control system for fast line following robots. | en_UK |
dc.type | Working Paper | en_UK |
dc.doi | 10.1109/DCOSS49796.2020.00068 | en_UK |