Intelligent Assistive and Rehabilitation Technologies: AI, Embodied Intelligence, and Human–Machine Interaction

Artificial intelligence is increasingly transforming assistive and rehabilitation technologies by enabling systems that can perceive users and their environments, interpret motor and behavioural information, adapt to individual needs, and support effective human–machine interaction. In this context, robotics represents a major expression of embodied intelligence, translating perception, learning, reasoning, and decision-making into physical interaction with people and the surrounding environment. However, the field also encompasses non-robotic technologies, including intelligent sensing, computer vision, wearable and contactless monitoring, adaptive interfaces, and data-driven tools for assessment, assistance, and rehabilitation.

This Special Issue aims to present original research and high-quality reviews on intelligent technologies designed to enhance autonomy, functional recovery, safety, inclusion, and quality of life. Relevant topics include assistive and rehabilitation robotics, embodied AI, machine and deep learning, multimodal sensing, human motion analysis, intelligent prostheses and exoskeletons, human–robot and human–machine interaction, personalised control and decision-support systems, and objective motor or functional assessment. Particular attention will be given to studies that demonstrate methodological rigour, user-centred design, explainability, usability, and validation in clinical, domestic, occupational, or other real-world settings. Contributions addressing ethical, accessibility, and translational challenges are also welcome. We welcome interdisciplinary contributions that bridge engineering, computer science, biomechanics, rehabilitation, healthcare, and the human factors sciences.

Dr. Andrea Zanela
Prof. Dr. Alessandro Di Nuovo
Guest Editors

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