About

Tomasz Osiak is a leading researcher at the intersection of rehabilitation robotics, digital health, and intelligent control systems. His work focuses on enabling safe, remote motor rehabilitation through the integration of digital twins, exoskeletons, and artificial intelligence—a critical need highlighted by the COVID-19 pandemic and ongoing shortages in medical staff. Osiak’s most cited paper (2023, 46 citations) pioneers the use of digital twins for home-based telerehabilitation, combining robot-aided therapy with remote control to support patient motion. He has also advanced similarity analysis of upper extremity trajectories for intelligent exoskeleton control (2025), and tackled the pressing challenge of automatic safety monitoring in minimally-supervised home rehabilitation (2024, 3 citations). His systematic review of lower extremity kinematics for task-oriented physiotherapy (2024) provides foundational design insights for rehabilitation robots. Notably, Osiak’s experimental work on visual interfaces (2024) demonstrates how different exercise visualization approaches impact motion accuracy during exoskeleton-aided therapy—a key step toward user-friendly, effective home rehabilitation systems. His research is shaping the future of accessible, technology-driven physiotherapy.

Research Focus

Key Achievements

3
H-Index
5
Papers
56
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Study on the Applicability of Digital Twins for Home Remote Motor Rehabilitation
46 citations · 2023
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Józef Piłsudski University of Physical Education in Warsaw, Łukasiewicz Research Network - Industrial Research Institute for Automation and Measurements

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago