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

2025-07-23

AI Summary

Traditional neurorehabilitation relies on manual therapist intervention, whereas existing rehabilitation robots—though highly precise and repeatable—struggle to incorporate clinicians’ expert judgment and adaptive decision-making. To address this gap, we propose “Robot-Mediated Physical Human–Human Interaction” (RM-pHHI), a novel paradigm that dynamically maps therapists’ clinical expertise onto robotic motion in real time, enabling natural, personalized, human-robot collaborative intervention. Methodologically, we establish a unified taxonomy for robot-assisted rehabilitation, integrate social-psychological frameworks to guide interaction design, and develop a modular control architecture supporting multimodal physical interaction and interdisciplinary collaboration. This paradigm transforms robots into intelligent mediators of clinician–patient interaction, significantly enhancing interpersonal quality, procedural reproducibility, and clinical adaptability. RM-pHHI provides both a theoretical foundation and a practical technical pathway to bridge the divide between conventional manual therapy and intelligent rehabilitation robotics.

Technology Category

• Intelligent Robots: Human-Robot Interaction
• Humans and AI: Interaction Techniques and Devices
• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• User Modeling, Personalization and Recommendation: Psychology-informed user models and recommender systems
• Search and Retrieval-Augmented AI: Assisted, interactive, and conversational search

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.

Problem

• Integrating therapist expertise with robotic precision in neurorehabilitation
• Enhancing physical feedback for patients using robot-mediated human interaction
• Bridging manual therapy and robotics with a unified interaction framework

Innovation

• Robot-mediated physical Human-Human Interaction
• Unified taxonomy for robot-mediated rehabilitation
• Robotic systems as seamless facilitators