Papers
22
Total Citations
195
H-Index
9
About
Vangelis Karkaletsis is a researcher whose work sits at the intersection of human-robot interaction, assistive technology, and machine learning, with a particular focus on leveraging robotics to improve quality of life for vulnerable populations. His most influential contributions center on robot-assisted therapy and training, where he has helped shape the field through foundational taxonomic work classifying how robotic systems can enhance cognitive and physical performance in users. His 2016 paper on adaptive robot-assisted therapy using interactive reinforcement learning (27 citations) stands as his most recognized contribution, demonstrating how robots can intelligently personalize therapeutic interventions in real time. Karkaletsis has also made significant strides in assisted living research, contributing to the RADIO project, which explored unobtrusive robotic solutions for independent aging. His work extends into rehabilitation robotics—including systems for cerebral palsy patients and motion-tracking frameworks using robotic arms—as well as robot learning, exploring how end-users without technical expertise can teach robots new concepts through vision and gameplay. Spanning nearly a decade of consistent output, his research reflects a commitment to making robotic assistance more adaptive, accessible, and clinically meaningful for patients, caregivers, and the broader aging population.
Research Focus
Key Achievements
Top Papers
- 1Adaptive Robot Assisted Therapy Using Interactive Reinforcement Learning27 citations · 2016
- 2A Taxonomy in Robot-Assisted Training: Current Trends, Needs and Challenges21 citations · 2018
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- 4Grounding the meaning of words through vision and interactive gameplay19 citations · 2015
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- 6A game system for remote rehabilitation of cerebral palsy patients11 citations · 2012
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- 9A Taxonomy in Robot-Assisted Training9 citations · 2018
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