Manufacturing case studies from across the HVM Catapult
Our case studies provide snapshots from the exciting work we’re doing with businesses, researchers, and government across the UK.
Helping Advanced Clothing Solutions to cut environment impact by 90%
NMIS’ work helped ACS Clothing to reduce its environmental impact by 90% and secure £10m private investment, now set to fund a new UK-based facility and jobs.
CASE STUDY
The robotic system is powered by Recycleye Vision – a world-leading AI computer vision system which detects all items on waste streams by material, item, and even brand.
3 February 2022
CASE STUDY
Key role in Driving the Electric Revolution
The UK is planning to reach net zero carbon emissions by 2050, with 78% of the reduction in carbon emissions planned for 2035. Such an ambitious target calls for radical restructuring of all forms of transport.
3 February 2022
CASE STUDY
Leading the Ventilator Challenge
On the 16th of March 2020, the Government asked UK industry to support the NHS in its fight against COVID-19. The VentilatorChallengeUK (VCUK) Consortium, led by the HVM Catapult’s outgoing CEO Dick Elsy and made up of more than 33 businesses from the aerospace, automotive and medical sectors, came together at speed to build medical ventilators.
3 February 2022
CASE STUDY
Decision making robot could revolutionise manufacturing
Using a combination of machine learning and visual recognition, the robot can be taught to make assembly decisions based on the components put in front of it, in a breakthrough development which could save manufacturers the costs of expensive fixed tooling.
3 February 2022
CASE STUDY
Supporting the micromobility revolution
With exciting partnerships with Transport for West Midlands and companies like Voi Technology, WMG is working on a number of projects in micromobility and its wider integration into transport infrastructure.
3 February 2022
CASE STUDY
Breakthrough in intelligent robotics
The MTC has made a breakthrough in intelligent robotics by developing a system that can teach itself how to pick up unknown objects, without the need for expensive sensors or lengthy programming.
3 February 2022
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