-
installations. Building on these research and industrial successes, this project aims to design soft robotic systems capable of fast locomotion within aero-engines and operating end effectors for non-destructive
-
of deep learning models, especially when new training experiences are corrupted. The framework will be validated in robotic control scenarios during EV battery assembly, under process variations such as
-
designing and developing experimental equipment suitable for containing the liquids at the temperatures needed, as well as optimizing the quality of the data obtained, both through experiment design and
-
the drivetrain. Alternative machine topologies such as axial flux, transverse flux, and homopolar designs offer unique advantages by enabling 3D flux paths, novel cooling strategies, and increased architectural
-
effectors (https://www.youtube.com/watch?v=A_CTqVFJ7Jc). At the Rolls-Royce UTC, we have a unique capability to design, model, and develop robotic systems tailored for operations in restrictive environments
-
, which can ultimately limit their justifiable performance, also advancing the design of both fusion and fission reactor components, and thereby contributing to increase their power density and decrease
-
functional performance of the components and the key process parameters. The project will deal with the design of special process setups, testing its working principles and performances followed by
-
become successful if patients are placed in the heart of technology usage, which is designed with patients’ perspective in mind. Proposed project This project would investigate commonly observed deviations