The DigiTOP Toolkit is a collection of Good Practice, Data, and Resources
The Toolkit below is an example of current good practice in implementing digital manufacturing technology (DMT) and its implications for workers who interact with the technology.
You will find a repository for information, software, frameworks, datasets, and publications on the design of DMTs and their impact on individuals and joint-cognitive manufacturing systems.
This is a short animated video that explains what digital manufacturing is. You will also see various digital technologies explained in a clear and concise way.
DigiTOP Videos
Please see the overview video of the DigiTOP project below presented by Advisory Board chair Ashutosh Tiwari
Below is a collection of short videos explaining the research and outcomes from the project, including the perspective and impact that the research has had within industry.
Natalie Leesakul – Horizon CDT PhD
Robotics and the Law: Towards responsible and sustainable adoption of industrial collaborative embodied autonomous systems in the case of digital manufacturing
Joshua Duvnjak – Horizon CDT PhD
The Use of Personal Data in Automated Digital
Manufacturing Environments
Subham Agrawal – UWE Bristol University
Using Collaborative Robots and the effect on Operators in Digital Manufacturing
Anne-Marie Oostveen- Crafield University
The acceptance and adoption of digital manufacturing technologies and human factors
Elizabeth Argyle – University of Nottingham
Understanding Human Performance and Cognition in Manufacturing with Physiological Sensing
Brian Waterfield – Industry (Falmouth University)
Digital Readiness – Digital manufacturing technologies and industry
Philip Jackson – Manufacturing Technology Centre
Digital Readiness – Digital manufacturing technologies and industry
DigiTOP Webinar Videos
Webinar: Wearable Sensors in a Human-Robot Collaboration Context. Dr Ali Al-Yacoub (Loughborough University)
Webinar: Structured Authoring for AR based communication (Dr Dedy Ariansyiah, Cranfield University)
Webinar: A Design Framework for Adaptive Digital Twins. Dr John Erkoyuncu (Cranfield University)
