The European GreenPatrol Project aroused considerable interest among those attending the eighth edition of the International Work-Conference on the Interplay between Natural and Artificial Computation – IWINAC. This congress, usually on topics related to automatic learning and the possibility of replicating the operation of neural networks through Artificial Intelligence procedures, offered the CTC Technological Centre the chance of presenting the particularities of its project to develop an autonomous robotic solution for the control of pests in greenhouses.
In a forum made up mainly of representatives from universities and other research centres, David Obregón, a researcher in the area of Navigation and Robotics at CTC, explained what this research, led by the Cantabrian technology centre, consisted of and how it is being developed. Specifically, Obregón spoke about the location system implemented in the robot to estimate the position of the device in a complex environment such as a greenhouse.
CTS’s representative said that to solve the problems of absolute localisation, they apply a series of their own mechanisms that take internal references from the greenhouse to pinpoint the position. Thus, the difficulties presented by satellite signals in this type of environment, in this case, the Galileo system (European alternative to GPS), can be overcome for indoor use.
This conference was part of the robotics section of this international congress held recently in Almeria. IWINAC regularly focuses its attention on issues more related to medical data, emotion recognition or image analysis. However, interaction with a natural element of the GreenPatrol Project opened the possibility for CTC to participate. This public exposure helps to meet the requirements for the dissemination of research results established by the project specification.
The GreenPatrol Project is a project linked to the H2020 Framework Programme, which has a 2.4-million-euro budget from the GSA (Global Navigation Satellite System Agency) through the European H2020 Innovation and Research Programme under Grant Agreement 776324. Its end date is 30 April 2020.