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.
- September 26, 2024
A paper accepted at NeurIPS 2024
- September 4, 2024
AR for exoskeleton fitting presented at the ongoing IEEE RAS/EMBS BioRob 2024
- August 24, 2024
A paper and a poster accepted at the inaugural 2024 IEEE International Symposium on Emerging Metaverse (ISEMV)
- 2025
Gaussian Splatting with NeRF-based color and opacity
Dawid Malarz, Weronika Smolak-Dyżewska, Jacek Tabor, Sławomir Tadeja, Przemysław Spurek
- 2024
Using Augmented Reality in Human-Robot Assembly: A Comparative Study of Eye-Gaze and Hand-Ray Pointing Methods
Sławomir K. Tadeja; Tianye Zhou; Matteo Capponi; Krzysztof Walas; Thomas Bohné; Fulvio Forni
- 2024
A Novel Approach to Enhance VR User Awareness of Nearby Non-Virtual Hazards through Adaptive Visual Alerts
Krzysztof Moskala; Marek Frankowski; Magdalena Igras-Cybulska; Thomas Bohné; Aleksandra Witoszek-Kubicka; Sławomir Tadeja
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 the Journal Best Paper Honorable Mention Award at the2024 IEEE International Symposium on Mixed and Augmented Reality, and was nominated for the Best Paper Award at the 2020 & 2021 IEEE International Conference on Industrial Engineering and Engineering Management.
