Papers
3
Total Citations
29
H-Index
3
About
Konstantinos Theofilis is a researcher whose work lies at the intersection of human-robot interaction, teleoperation, and learning by demonstration. His key contributions focus on enhancing how humans remotely control and teach robots, particularly humanoid platforms. In his most cited work, "Panoramic view reconstruction for stereoscopic teleoperation of a humanoid robot" (2016, 15 citations), Theofilis addressed a critical challenge in remote robot control: providing operators with intuitive, immersive visual feedback. He further explored the impact of communication delays on teleoperation performance in "Effects of Throughput Delay on Perception of Robot Teleoperation and Head Control Precision in Remote Monitoring Tasks" (2018, 10 citations), revealing how latency affects operator precision and situational awareness. Earlier, in "Temporal emphasis for goal extraction in task demonstration to a humanoid robot by naive users" (2013, 4 citations), Theofilis developed a novel, psychology-inspired method to help non-expert users teach robots tasks by simply demonstrating them—a significant step toward accessible robot programming. His work is notable for its practical focus on real-world usability, addressing the perceptual and cognitive challenges that arise when humans and robots collaborate across distances. With a cumulative citation count reflecting growing interest in intuitive teleoperation and robot learning, Theofilis’s research continues to inform the design of more effective, user-friendly robotic systems for service, monitoring, and industrial applications.
Research Focus
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