SI.20.004 – Approaching0

Route: Smart industry

Cluster question: 106 What transformation will we see in the manufacturing!!! service!!! and maintenance industries!!! and which technological innovations will make this possible?

APPROACHING0 – Towards Zero-Delay and Zero-Loss Wireless Communications for High-Performance and Zero-Downtime Autonomous Industrial Systems.
The fourth industrial revolution brings a quantum leap to the industry and society. Digital technology will allow for seamless integration of big data in existing industrial value chains with shorter time-to-market product development, zero-defect and flexible manufacturing systems, and predictive maintenance capability. These targeted developments create the opportunity to manufacture in a carbon-neutral way with zero material and product waste, contributing to a circular and more sustainable economy. Production systems will consist of self-organising machines that communicate in real-time with each other in order to offer highly automated and extremely flexible, timely and cost-efficient production processes. Manufacturers will use advanced real-time 3D VR and AR applications for collaborative product development by specialists at different geographical locations and for maintenance through the use of robots which are remotely supervised by experts. This project will bring about key innovations in the area of wireless communication networks and systems control needed to exploit the full potential of digitisation of the industrial value chain and to realise the advanced, highly demanding smart industry production systems and processes. In particular, working in multidisciplinary research teams and in collaboration with key industrial partners, the project will develop architectural and management solutions for reconfigurable wireless networks optimised for real-time high-capacity performance and extreme reliability and availability. Robust, network-aware distributed control algorithms for industrial autonomous systems are developed that can process the big data coming from local and remote heterogeneous sources in real-time and use them to optimise the systems. These technological innovations are complemented by research on business, privacy and regulatory aspects to also provide a solid economic and legal basis for wide adoption of fully digitised value chains and connected autonomous systems by the industry. The outputs will be validated for three important smart industry use cases.


Industry 4.0, Mechatronics, Real-Time Control, robotics, Ultra Reliable Wireless Communications

Other organisations

Eindhoven University of Technology (TU/e), Hanze Hogeschool Groningen, Rijksuniversiteit Groningen (RUG), Saxion, Technische Universiteit Delft (TUD), TNO


Organisation University of Twente
Name G. (Geert) Heijenk