Alexandros Lioulemes
Papers
13
Total Citations
123
H-Index
8
About
Alexandros Lioulemes is a robotics researcher whose work bridges human-robot interaction, rehabilitation engineering, and intelligent automation. His research spans three interconnected domains: robotic-assisted physical therapy, teleoperation and virtual reality interfaces, and autonomous unmanned aerial vehicles in human-occupied environments. Lioulemes is perhaps best known for his MAGNI system series, a suite of robot-aided rehabilitation platforms combining the Barrett WAM robotic arm with game-based therapy, vision-based kinematic modeling, and adaptive haptic feedback to support upper-limb motor recovery. These contributions, accumulating over 35 citations across multiple publications, represent a significant effort to make rehabilitation more personalized, data-driven, and accessible for home use. His 2017 VARM project (19 citations) demonstrated how virtual reality could democratize industrial robot programming, enabling users without robotics expertise to safely operate mechanical manipulators. Meanwhile, his early work on UAV safety in indoor environments (15 citations) tackled the critical challenge of autonomous drone navigation around human workers. Rounding out his portfolio, Lioulemes has explored interactive reinforcement learning for vocational robot training, further reflecting his commitment to intuitive, adaptive human-robot collaboration across both industrial and medical settings.
Research Focus
Key Achievements
Top Papers
- 1VARM19 citations · 2017
- 2
- 3Guided physical therapy through the use of the Barrett WAM robotic arm15 citations · 2014
- 4
- 5A Motion and Force Analysis System for Human Upper-limb Exercises12 citations · 2016
- 6
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- 8MAGNI: A Real-Time Robot-Aided Game-Based Tele-Rehabilitation System8 citations · 2016
- 9Robot-aided rehabilitation using force analysis7 citations · 2015
- 10