This research designs bespoke, lightweight 3D-printed breast prostheses for women after mastectomy. Using body scanning and personalised materials, the prostheses improve comfort, symmetry, and fit compared to standard silicone forms. The project aims to help women move from surviving breast cancer to thriving with confidence and comfort.

This thesis introduces Armando, a low-cost soft robotic gripper with proprioceptive sensing using a single flexible capacitive sensor and neural-network decoding. Achieving 99% accuracy, Armando enables precise finger-position estimation for applications in prosthetics, assistive care, and disaster response, advancing accessible tactile robotics inspired by human touch.