The next generation of prosthetic technologies must move beyond passive devices to become intelligent, adaptive, and seamlessly integrated with human intent and sensory perception. Achieving this requires advances in AI-driven intent detection, neural interfaces, sensory feedback, and soft robotics, enabling prosthetics to function as interactive extensions of the body. However, significant challenges remain in translating neural and biomechanical signals into intuitive prosthetic control, ensuring real-time adaptability, and integrating multi-modal sensory feedback for a natural user experience.

This workshop aims to bring together researchers and industry experts to explore how recent developments in machine learning, biomimetic sensors, hybrid control strategies, and ethical considerations can push the boundaries of prosthetic functionality. By fostering discussions on adaptive AI, user-centric design, and novel neural-prosthetic interfaces, we hope to identify key challenges, establish research directions, and drive interdisciplinary collaboration to make prosthetic technologies more responsive, accessible, and human-like in their operation