Inspired by bird flight, this research investigates how wingtip feathers influence aerodynamics. Using bioinspired design, 3D-printed models, and wind tunnel experiments, it isolates the effects of feather separation, bending, and twisting. These insights improve aircraft stability, lift, and maneuverability, offering pathways to safer and more efficient aviation in turbulent environments.

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.