Autonomous Manufacturing of Composite Products with Multiple Flexible and Intelligent Robots
This project aims to develop a fast and cost-effective solution to the adaptive control and path planning problem of MAR for the autonomous manufacturing of composite products in collaborative production environments by carrying out a PhD-level fundamental research programme in the targeted domain with the focus of addressing the gaps in applying robotics and autonomous systems (RAS) to the lightweight manufacturing industry for widening RAS’s social and economic impact. The duration is 3 years.
To achieve this aim, the proposed project will be focusing on the following three research objectives:
1. To investigate how to automatically detect and intelligently recognize the hazardous/poisonous composite materials within the required manufacturing settings.
2. To investigate how the MAR can be controlled and coordinated in a smarter manner in the collaborative production environments to fulfil a series of challenging tasks such as obstacle avoidance, positioning, path tracking, and coordinated control of each autonomous robots in the MAR.
3. To develop an intelligent path planning algorithm for MAR’s autonomous operation of large composite part/component. This research will address the key challenges in the coordination of different kinds of robots in the area of composite manufacturing. The whole system would enable more flexible and effective working mode for different kinds of robots to significantly improve the working conditions of the human operators.
We will accept applications from international students who can confirm in their email application that they are able to pay the difference between the Home and International fees (approximately £16,500 per annum). The Stipend is not to be used to cover fees. If you are unable to cover this cost the application will be rejected.
Applications from Home, Rest of UK and EU Students will receive funding of the home fee and stipend.