Sort by
Refine Your Search
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and
-
student will undertake a three-month industrial placement with Crover Ltd, gaining hands-on experience in applied robotics, sensor optimisation and product development within a collaborative SME setting
-
investigate the influences of deposition orientation and robotic flexibility on repair quality, followed by developing a sensor-integrated monitoring and real-time feedback control system to enhance process
-
velocity and total pressure. The project will investigate how machine learning and data-driven methods can be used to: Develop surrogate models that predict distortion metrics from sparse sensor
-
algorithms that can update themselves as the battery operates. By integrating real-time sensor data, the BMS will continuously refine its internal model, improving the accuracy and allowing the system