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 9, 2026
Two papers accepted at IEEE ISEMV 2026!
- July 9, 2026
Paper accepted at IEEE/RSJ IROS 2026!
- June 1, 2026
The best technology poster award at the IfM First Year PhD/MPhil Conference 2026
- 2026
Factors Influencing the Adoption of Advanced Robotics in Healthcare: Analyzing the Case of Robotic-Assisted Thoracic Surgery
Angelo Batalla; Christine Saeedi-Givi; Adam Peryt; Joachim Henkel ; John Liu MIT ; Thomas Bohné ; Sławomir K. Tadeja
- 2026
Does Personality Matter in Robot-Moderated Collaboration? Exploring the Personality Role in AR-Enabled Human-to-Human Task
Sebastian Heidrich; Christine Saeedi-Givi; John Liu; Thomas Bohné; Fulvio Forni; Sławomir Tadeja
- 2026
Assisting visual search task with augmented reality: an exploratory study in an industrial workshop
Mikołaj Łysakowski, Kamil Żywanowski, Adam Banaszczyk, Michał R. Nowicki, Piotr Skrzypczyński, Thomas Bohné & Sławomir K. 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.
