Natalia Osiak
Papers
2
Total Citations
6
H-Index
2
About
Natalia Osiak is a researcher at the forefront of rehabilitation robotics, specializing in the intelligent control of exoskeletons for upper and lower extremity therapy. Her work bridges biomechanics and artificial intelligence, focusing on how robotic systems can autonomously assess and support patient movements with minimal specialist oversight. Osiak’s key contribution lies in modeling human motion during activities of daily living—such as reaching or walking—and translating these patterns into algorithms that enable rehabilitation robots to adapt exercises in real time. Her most-cited paper (2025, 4 citations) introduces a similarity analysis of upper extremity trajectories, demonstrating how AI can generate new therapeutic exercises based on previously modeled motions. A complementary study (2024, 2 citations) provides a literature-based analysis of lower extremity kinematics and dynamics, informing the design of task-oriented physiotherapy robots. Though early in her career, Osiak’s work is already shaping the next generation of autonomous rehabilitation systems, offering a path toward more accessible, personalized therapy. Her research is essential reading for engineers and clinicians seeking to integrate intelligent control into assistive robotics.
Research Focus
Key Achievements
Top Papers
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