English

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

Robotics 2025-12-01 v2

Abstract

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.

Keywords

Cite

@article{arxiv.2507.17561,
  title  = {Robot-mediated physical Human-Human Interaction in Neurorehabilitation: a position paper},
  author = {Lorenzo Vianello and Matthew Short and Julia Manczurowsky and Emek Barış Küçüktabak and Francesco Di Tommaso and Alessia Noccaro and Laura Bandini and Shoshana Clark and Alaina Fiorenza and Francesca Lunardini and Alberto Canton and Marta Gandolla and Alessandra L. G. Pedrocchi and Emilia Ambrosini and Manuel Murie-Fernandez and Carmen B. Roman and Jesus Tornero and Natacha Leon and Andrew Sawers and Jim Patton and Domenico Formica and Nevio Luigi Tagliamonte and Georg Rauter and Kilian Baur and Fabian Just and Christopher J. Hasson and Vesna D. Novak and Jose L. Pons},
  journal= {arXiv preprint arXiv:2507.17561},
  year   = {2025}
}

Comments

Accepted in IEEE Reviews in Biomedical Engineering