The chapter is an investigation of current systems of creating smart prosthesis technologies whose concept integrates motion learning and the provision of neuro-muscular feedback to make them more mobile and adaptive to their users. These systems are made responsive through interpretations of the user intent and surroundings, and they can be active with the help of AI-powered algorithms and sensor systems. Other methods that are covered in the chapter include adaptive learning, myoelectric signal processing and embedded control techniques to aid natural movements and motor recovery. The focus is on real time response, personalizing to the user and better biomechanical integration. The paper presents the progress in terms of responsiveness and experience using the prosthetic as well as the projection regarding the development of individual assistive technologies and neuro-robotic rehabilitation.