This workshop stems from the Fit for Medical Robotics (https://www.fit4medrob.it/) project, an initiative funded by Italian MUR to foster research activities in technological assistance and rehabilitation. In Fit4MedRob, the integration of AI and Robotics plays a crucial role. Indeed, among the main missions of the project the goal of fostering “Next Generation Components” foresees the development of new intelligent interfaces and AI algorithms to improve the interpretation of users' intentions and to implement safer and richer interactions between humans and robots. Therefore, a workshop co-located with AIxIA 2024 seems to us a natural venue where the first research results can be presented and disseminated. Developing intelligent robots for rehabilitation and assistance tasks entails a series of challenges. Indeed, such robots should have innate abilities of computation, sensing, reasoning and adaptation as well as of responding and interacting with users and the environment. It is pivotal to allow robots with the ability to foresee and/or interpret needs, mental or health status of patients to develop seamlessly controlled rehabilitation robots or personal care robots aimed to assist frail individuals or patients. Next-generation robots, either under user control (e.g.: prostheses) or autonomous ones, will require advanced autonomous capabilities to acquire and process signals from connected humans and the surrounding environment and be equipped with learning, prediction and reasoning capabilities. The workshop aims at gathering research contributions related to robot intelligence and seamless interaction between robots and humans. These include technologies to record the signals from the individual, computational approaches to process them, and high-level cognitive architectures to understand the context and control the robot safely while interacting with the individual(s). AndreA Orlandini Silvia Rossi