Robot-mediated physical Human-Human Interaction in Neurorehabilitation: a position paper

Vianello, Lorenzo, Short, Matthew, Manczurowsky, Julia, Küçüktabak, Emek Barış, Di Tommaso, Francesco, Noccaro, Alessia, Bandini, Laura, Clark, Shoshana, Fiorenza, Alaina, Lunardini, Francesca, Canton, Alberto, Gandolla, Marta, Pedrocchi, Alessandra L. G., Ambrosini, Emilia, Murie-Fernandez, Manuel, Roman, Carmen B., Tornero, Jesus, Leon, Natacha, Sawers, Andrew, Patton, Jim, Formica, Domenico, Tagliamonte, Nevio Luigi, Rauter, Georg, Baur, Kilian, Just, Fabian, Hasson, Christopher J., Novak, Vesna D., Pons, Jose L.

arXiv.org Artificial Intelligence 

Neurorehabilitation conventionally relies on the interaction between a patient and a physical therapist. Robotic systems can improve and enrich the physical feedback provided to patients after neurological injury, but they under-utilize the adaptability and clinical expertise of trained therapists. In this position paper, we advocate for a novel approach that integrates the therapist's clinical expertise and nuanced decision-making with the strength, accuracy, and repeatability of robotics: Robot-mediated physical Human-Human Interaction. This framework, which enables two individuals to physically interact through robotic devices, has been studied across diverse research groups and has recently emerged as a promising link between conventional manual therapy and rehabilitation robotics, harmonizing the strengths of both approaches. This paper presents the rationale of a multidisciplinary team-including engineers, doctors, and physical therapists-for conducting research that utilizes: a unified taxonomy to describe robot-mediated rehabilitation, a framework of interaction based on social psychology, and a technological approach that makes robotic systems seamless facilitators of natural human-human interaction.

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