The trial demonstrates how millimeter-wave spectrum can deliver substantially greater capacity than the 3.5 GHz bands commonly used for 5G deployments, while also reducing network latency. The solution combines zero-shot AI algorithms for tracking and pose estimation with 5G-TSN deterministic networking to achieve sub-10 ms latency.
Validated at TRL 6 through two Michelin industrial pilots focused on parts transportation and coextrusion monitoring 5G-MHAR resolves single-robot occlusion challenges, improves energy efficiency, and delivers public datasets for ongoing research. These enhanced capabilities will unlock new industrial use cases, particularly in manufacturing environments, where high-definition cameras, automation systems, and real-time analytics are increasingly used to monitor, optimize and control production processes.
Jose Costa-Requena, CEO of Cumucore, said “This milestone highlights Cumucore’s commitment to delivering innovative solutions through strong partnerships and technology leadership. Together, we are unlocking the full potential of advanced industrial automation, enabling companies to improve productivity, safety, efficiently at scale”.
“We are proud to collaborate with the University of Burgos and Cumucore on initiatives that advance the future of connectivity and automation in Spain. Partnerships like these help bridge the gap between academic innovation and the industrial applications that can create real-world impact,” said Ignacio Gallego, Country Manager Nokia Spain.
J. Enrique Sierra-García, Head of Robotic Lab at University of Burgos, said “This milestone demonstrates the value of collaboration between research institutions and technology providers in shaping the future of Industry 5.0. Together we are investigating how 5G/6G-enabled human-robot interaction can improve productivity, safety, efficiency, and adaptability in increasingly complex operational environments”.
“To advance next-generation Human-Robot Interaction (HRI) technologies, FORTIS provides external innovators with funding, technical expertise, and industry collaboration opportunities through its Open Call initiatives. Among the projects funded under FORTIS OC#1 is 5G-MHAR (5G-TSN-Driven Multi-Robot Human Activity Recognition), developed by the University of Burgos, Cumucore and Nokia,” concluded Daniela Fonseca, FORTIS Open Call Manager.
