Title: Study on Route Setting and Movement Based on 3D Map Generation by Robot in Hydroponics Managing System

Year of Publication: Sep - 2017
Page Numbers: 92-97
Authors: Koji Mukai, Kazuo Ikeshiro, Hiroki Imamura
Conference Name: The Fourth International Conference on Artificial Intelligence and Pattern Recognition (AIPR2017)
- Poland


We propose an efficient hydroponics mana-gement system where farmers (users) can cultivate their fields by operating a mobile robot in remote locations. This system can reflect users’requests, thus this system can provide high efficient crop management and high quality crops.However, in order to put this system into practice, we need to develop the robot that can move in the field by users’ remote control. In the previous research, the robot created a 3D map using RGB infor-mation.However, in this function misalignment occurs at the time of alignment when the similar RGB information is contained in the image taken by a RGB camera, making it difficult to create 3D map.Therefore, in this research, we generate maps using ArUco marker to enable generation of maps even in the place with similar RGB information.