Engineering
the future of
human-technology systems
01
What we do
Research
Augmenting human abilities
with technology
Our team at the University of Cambridge focuses on how digital technologies can augment or amplify human abilities in real-world industrial work environments. We have carried out some of the first and largest experiments in the field and received many awards including the Institute for Manufacturing’s Research Excellence Award and multiple IEEE Best Paper Awards.
Engineering
Building prototypes &
developing tools
Our team develops their most innovative ideas to prototypes and products, focusing on novel tools and software solutions that advance the state of the art. Based on rigorous scientific research and testing, our solutions deliver tangible results in real-world industrial contexts.
Consulting
Technology strategy &
implementation
Leveraging our research and experience from industry, we assist partners to think about and implement augmentation technologies that amplify human abilities to enable a future of industrial work that is not only more productive but also more accessible, inclusive and sustainable.
- July 3, 2023
A new white paper on Digital Twins (in Polish)
- June 19, 2023
VR project used in Radiology Convention
- May 31, 2023
Scientific seminar by Dr Tadeja featured on the PUT’s main page
- 2023
Towards Multimodal VR Trainer of Voice Emission and Public Speaking -Work-in-Progress
Magdalena Igras-Cybulska, Daniela Hekiert, Artur Cybulski, Slawomir Tadeja et al.
- 2023
Towards Augmented Reality Guiding Systems: An Engineering Design of an Immersive System for Complex 3D Printing Repair Process
Luca O. Solari Bozzi; Kerr D. G. Samson; Sławomir Tadeja; Sebastian Pattinson; Thomas Bohné
- 2023
Towards More Effective VR-Based Presentations of Real-World Assets: Showcasing Mobile MRI to Medical Practitioners and Technicians
Sławomir Tadeja; Kacper Godula; Artur Cybulski; Thomas Bohné; Magdalena M Woźniak
We research & engineer cyber-human systems amplifying human abilities.
Based in Cambridge (UK), our team consists of engineers, computer scientists, psychologists and social scientists.
Our research at the University of Cambridge focuses on systems able to augment – rather than replace – human abilities and improve workforce performance in industrial contexts. Examples include new hybrid systems for on-the-job training, guidance and decision making. We seek to advance knowledge by developing novel assistance systems and by experimentally testing ideas at a human-technology systems level in the lab and in industry.
Our team’s research has received the Institute for Manufacturing’s Research Excellence Award 2019, the Best Paper Award of the 2020 IEEE International Conference on Human-Machine Systems, and was nominated for the Best Paper Award at the 2020 & 2021 IEEE International Conference on Industrial Engineering and Engineering Management.