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.
- March 16, 2024
(taken) Another UROP Opportunity for Using AR in Attachment of Parcels to Multicopter Drones
- March 6, 2024
(taken) New UROP Opportunity Concerning AR-Based Training for Robot-Assisted Surgery
- February 25, 2024
CHL to Collaborate on Generative 3D Models with Prof P. Spurek from Jagiellonian University
- 2023
Augmented Reality for Quality Inspection: A User-Centred Systematic Review of Use Cases, Trends and Technology
Alexander Albers; Thomas Bohné; Sławomir Konrad Tadeja
- 2023
Exploring the repair process of a 3D printer using augmented reality-based guidance
Sławomir K. Tadeja; Luca O. Solari Bozzi; Kerr D.G. Samson; Sebastian W. Pattinson; Thomas Bohné
- 2023
Exploring the Industrial Metaverse: A Roadmap to the Future
Maria Basso, Connie Kuang, Francesca Zanolla, Thomas Bohné, Carmen Mayer, Jakob Schmidbauer, Slawomir 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.
