Fillia Makedon
Papers
57
Total Citations
1,021
H-Index
15
About
Fillia Makedon is a pioneering researcher at the intersection of robotics, artificial intelligence, and assistive technology, with a career dedicated to improving human health, independence, and interaction through intelligent systems. Her highly cited survey "A Survey of Robots in Healthcare" (2021, 371 citations) established her as a leading voice in understanding how robotic systems can serve elderly populations, individuals with disabilities, and rehabilitation patients. Makedon's work spans socially assistive robotics, human-robot interaction, and cognitive assessment, as demonstrated through her investigations into personalized robot-assisted therapy using reinforcement learning and real-time cognitive load monitoring for industrial collaboration. Her early innovations, including the eyeDog robotic guide system for visually impaired users, reflect a consistent commitment to accessibility and independence. She has also contributed multimodal frameworks combining computer vision, EEG signals, and body posture analysis to predict cognitive performance—tools with profound implications for education and rehabilitation. Through comprehensive taxonomies and surveys addressing motor impairments in conditions like multiple sclerosis, Makedon has helped systematize an emerging field, offering researchers and clinicians a rigorous foundation for developing the next generation of therapeutic and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Robots in Healthcare371 citations · 2021
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- 3eyeDog38 citations · 2011
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- 5Enhanced therapeutic interactivity using social robot Zeno30 citations · 2011
- 6Adaptive Robot Assisted Therapy Using Interactive Reinforcement Learning27 citations · 2016
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- 8A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges21 citations · 2018
- 9VARM19 citations · 2017
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