Tekniker presents successful cases associated with robotics and industrial digitisation at BIEMH 2024

Tekniker will not only showcase cutting-edge solutions and technologies thanks to its prominent presence at the International Machine Tool Biennial (BIEMH) as several of its in-house experts will also participate in the official programme as speakers describing successful cases associated with robotics and digitisation.

Eneko Ugalde, director of Autonomous and Intelligent Systems will be the first speaker on a panel discussion to be held on June 4 at 10.00 am organised by the AER Automation Association that will analyse the state of the art of automation 4.0 and explain a number of successful examples. Special attention will also be paid to future trends and challenges.

As an example, the researcher will present the OMICRON road maintenance project and specifically underscore the collaboration of Weidmüller, as a platform used to compile and send data to a superior system and Kuka, via a system that generates trajectories covering all the project’s use cases.

Chaired by Álex Salvador, manager of AER, the panel discussion will also feature Sergio Muiña, Weidmüller’s Automation Sales Engineer Manager, and Ignacio Sancho, Sales Director of the GI Latin America Cluster.

The following day, on Wednesday June 5 at 10.40 am, Eneko Ugalde will give a presentation describing the opportunities robotics and AI offer in the area of advanced manufacturing within the framework of the Automation & Robotic Talks.

Participation in Innotech

Tekniker will also participate in Innotech, a new BIEMH dissemination space organised by Innobasque where innovative projects geared towards generating knowledge will be presented.

On Tuesday June 4 at 11.30 am, moreover, the researcher Johan Kildal will explain the progress made to date in the MASTER project whose ultimate goal is to boost the adoption of robotics in the area of manufacturing by using extended reality technologies (XR) to train students and workers.

On Wednesday June 5 at 11.00 am, the researcher Kerman López de Calle will explain how an AI model has been developed to optimise a quintuple industrial extruder. During his lecture, he will describe how the model can now understand how the extruder works based on data history and how, by mimicking its twin, it can optimise operating parameters.

This work has been carried out within the context of the AI-PROFICIENT project whose goal is to develop a new range of services and smart assets to improve the quality, productivity and maintenance of industrial processes and assets.