Research Focus


We are working on the three key aspects of Industry 4.0: motion products; product assembly and factory supply logistics; and data & ICT for the manufacturing industry.

Motion products

Based on a multi-disciplinary (electromechanical, thermal, mechanical, ... ) approach including multi-scale and multi-physicas modelling, we focus on

  • Innovative actuators: we design and validate new types of more efficient, more robuust, ... machines which open up new architectures in motiion products;
  • Smart products: we are integrating sensors or develop virtual sensors to add smartness to components and subsystems in order for them to robustly operate over a wide range of boundary conditions; 
  • Optimal synthesis and control: tools are developed to (co-)design and optimally control system to maximize performance 

    Product assembly and factory supply logistics

    In this area we are looking at

    • Specifying and validating flexible architectures for assembly based on innovative automation concepts and increased connectivity;
    • Organising multi-criteria evaluation of future assembly work cells including flexibility and human factors;
    • Developing tools for the operational support within hybrid work cells;
    • Setting up context aware information for human centered assembly work cells;
    • Designing new strategies for the supply and presentation of parts to an assembly station
    • Logistics and supply chain
    • Material handling and warehousing
    • Production planning and control
    • Integrated production and (preventive/selective) maintenance planning

    Data & ICT for the manufacturing industry

    Within industry 4.0 data & ICT are playing a pivotal role, in this field we

    • Develop and apply black boc machine (deep) learning tecniques, including machine learning and semantics to include expert knowledge to obtain interpretable outputs;
    • Develop innovative data and hybrid drive modelling algorithms to increase the accuracy of machinery and factory models, discover new knowledge and to allow tuning of physical models;
    • Develop cross-context models to allow machine learning models to adapt to new contexts wherin machines and factories need to operate;
    • Introduce virtual, augmented and mixed reality into the manufacutring industry based on/inspired by the gaming industry.