The RODAT project aims to develop a platform that enables greater interconnectivity between industrial and service robots, regardless of type, model, or manufacturer. This will allow for better management of data from these robots and, therefore, solutions that save time and money, and optimize manufacturing processes.

Currently, despite advances in robots in terms of precision, repeatability, quality, and materials, these devices are still used as isolated machines from an information perspective.

This information is of great value to industry, but the data generated by these machines—such as trajectories, sensors, energy consumption, motor operation, supported load, or historical data on position, speed, batteries, and configurations, among others—are currently neglected due to various factors, such as the lack of universal communication protocols, the existence of proprietary software, or the lack of connectivity channels between robots and Industry 4.0 control systems. Responding to this need, the RODAT project will develop a cloud-based system for collecting and analyzing information from robots, utilizing artificial intelligence models and Big Data solutions. The goal is to integrate it into companies as a service that provides the right information at all times, based on the company’s needs. This includes identifying equipment that isn’t operating at optimal levels (robots, components, or software), reducing unplanned downtime, saving energy, contributing to sustainability, and even cooperating between factories.

RODAT has received a grant from the Valencian Innovation Agency under the 2022 call for proposals under the “Strategic Cooperation Projects” program. The project is co-financed by the European Union through the Operational Program of the European Regional Development Fund (ERDF) of the Valencian Community 2021-2027, under file number INNEST/2022/203.

PARTNERS:

Project Results:

Close collaboration between the various partners has enabled the achievement of the project’s objectives, resulting in the development of an innovative technological platform that optimizes the management and analysis of data generated by industrial robots. This solution enables standardized data collection, the training of machine learning-based predictive models, and the implementation of a flexible and secure edge-cloud architecture. Furthermore, significant improvements have been achieved in predictive maintenance, the coordination of autonomous robots in logistics environments, and increased operational efficiency in industrial plants, contributing to the transformation of Industry 4.0.

For more information about the project and its results, please visit the project website: https://rodat.upv.es