Proceedings on Automation in Medical Engineering
Vol. 3 No. 1 (2026): Proc AUTOMED
https://doi.org/10.18416/AUTOMED.2026.2512

18th Interdisciplinary AUTOMED Symposium in Collaboration with the TC Medical Robotics, 2512

Virtual Technician: A multi-modal interface facilitating therapists’ adoption of rehab robots

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Max-Ole Bastian von Waldow (ETH Zürich), Robert Riener (Sensory-Motor Systems Lab, ETH Zurich), Michael Sommerhalder (Bio-Inspired Robots for Medicine, University of Basel), Peter Wolf (Sensory-Motor Systems Lab, ETH Zurich)

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Abstract

Rehabilitation robots support physiotherapy but therapeutic intention can be difficult to express as robotic parameter adjustments. A multi-modal interface, the Virtual Technician, is conceptualized to provide an intuitive mapping of intention to robot parameters. A demonstrator of the Virtual Technician based on a Large Language Model (LLM) showed that LLMs of ?4 billion parameters can cope with abstract natural language commands to adjust typical parameters of rehabilitation robots.

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