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.
- May 1, 2024
Regular Paper Accepted for Presentation at IEEE RAS/EMBS BioRob 2024
- April 12, 2024
A New Article to be Published in Computers & Graphics journal
- March 16, 2024
(taken) Another UROP Opportunity for Using AR in Attachment of Parcels to Multicopter Drones
- 2024
Immersive presentations of real-world medical equipment through interactive VR environment populated with the high-fidelity 3D model of mobile MRI unit
S. K. Tadeja, T. Bohné, K. Godula, A. Cybulski, and M. M. Woźniak
- 2024
Challenges of responsible AI in practice: scoping review and recommended actions
Malak Sadek, Emma Kallina, Thomas Bohné, Céline Mougenot, Rafael A. Calvo, Stephen Cave
- 2024
Views from the Front Line: Workers’ Insights on How to Introduce New Technology
Horn, J., Bohné, T., Basso, M. and Zanolla, F
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.
