Vangelis Metsis
The University of Texas at Arlington, Texas State University
Papers
4
Total Citations
47
H-Index
4
About
Vangelis Metsis is a researcher whose work sits at the intersection of robotics, human-robot interaction, and assistive technology. His key research areas include autonomous navigation, physical rehabilitation robotics, and computer vision for assisted living environments. Metsis made significant contributions to developing robotic systems that can safely collaborate with humans in indoor and industrial settings, as demonstrated by his work on the AR.Drone platform for autonomous navigation with pedestrian avoidance. His most impactful contributions center on physical therapy and rehabilitation, where he developed the MAGNI system—a framework combining video gaming with the Barrett WAM robotic arm to enable self-managed patient therapy and motion analysis. This work, along with his research on guided physical therapy through robotic arms, has garnered substantial attention, with his top papers accumulating over 47 citations. Metsis also advanced object recognition for assistive environments through supervised learning approaches using RGB-D data. His research demonstrates a consistent focus on creating practical, human-centered robotic solutions that enhance quality of life, from rehabilitation to daily assistance, making him a notable contributor to the field of assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Guided physical therapy through the use of the Barrett WAM robotic arm15 citations · 2014
- 3
- 4