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Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

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KoRob: A Berlin-Brandenburg Research Network for Social Robotics and Health Informatics in Transition Societies.

Frithiof Svenson¹, Anne Pfennig¹, Akira-Sebastian Poncette²

¹Medical University Lausitz - Carl Thiem.

Studies in Health Technology and Informatics

|July 3, 2026

Summary

This study explores using collaborative robots for automated meal delivery in hospitals to address nursing shortages. Early analysis focuses on staff trust and technology fit to ensure successful integration of social robots.

Keywords:

Clinical Logistics in Nursing Human–Robot Collaboration Meal Delivery Robotics Social Robotics Task–Technology Fit

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Area of Science:

Healthcare Informatics
Robotics in Medicine
Socio-technical Systems

Background:

Healthcare systems face nursing shortages due to demographic and structural changes.
Digital and robotic technologies can automate routine tasks, improving care resilience.
The KoRob project aims to integrate collaborative robots into hospital workflows.

Purpose of the Study:

To develop a collaborative social-robotic system for automated meal delivery in hospital wards.
To analyze requirements and identify constraints for safe robot deployment.
To assess nursing staff expectations and early acceptance of autonomous delivery robots.

Main Methods:

The KoRob project employs an interdisciplinary, socio-technical, and informatics-oriented approach.
Requirement analysis and co-creation with nursing teams are central to early phases.
The Individual-Task-Technology Fit (ITTF) framework assesses staff expectations using cognitive style, openness, task-technology fit, and trust.

Main Results:

Early phase focuses on requirement analysis and co-creation to build trust.
Identifying technical, spatial, and organizational constraints for safe deployment is key.
The ITTF framework is used to understand factors influencing early acceptance of robots.

Conclusions:

This study protocol outlines a Work in Progress approach.
The project aims to generate transferable insights for integrating robotics in healthcare.
Successful implementation requires addressing socio-technical factors alongside technology development.