|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||University funded|
|Placed On:||4th August 2022|
|Closes:||18th September 2022|
This position is based within the Control Systems Research Group, which has a well-established expertise in the application of advanced control and condition monitoring. This position looks to expand into new areas of robotic control, the impact of which is applicable across manufacturing, wearable-prosthetics or product-testing scenarios.
This project is concerned with optimising robotic movement by making use of (or designing in) deliberate bending and spring dynamics into systems to make more energy-efficient movements. This is more akin to applications in biology where natural bending and flexes can be used within a body where optimum efficiency is obtained by storing energy in bending or tension before allowing an ‘unload’ at the point of launch. Typical robotic systems struggle to achieve this optimum motion due to the position-focussed nature of the control schemes and lack of system wide optimisation.
This project aims to develop controllers drawing on recent advances in adaptive and robust nonlinear MPC and reinforcement learning. Successful candidates will develop skills in multibody dynamics and predictive control applied to flexible robotics.
Is the project University funded or self-funded? University funded
Funding eligibility: Competition funded project (students worldwide)
Who is eligible to apply?: Both UK and International
Full-time/part-time availability: Full-time (3 years)
Closing Date: 18th September 2022
Advert Reference: P2SAM22-11
Type / Role: