Papers
19
Total Citations
327
H-Index
10
About
Serge Demidenko is a robotics and engineering education researcher whose work spans intelligent control systems, computer vision, and human-robot interaction. Best known for his contributions to teleoperation and robotic manipulation, his most-cited paper on master-slave control of an anthropomorphic robotic arm (2006, 80 citations) pioneered intuitive bilateral control methodologies with integrated force feedback, making sophisticated robotic operation more accessible and practical. His substantial body of work in real-time image processing is equally noteworthy, with multiple papers advancing run length encoding (RLE) techniques for fast, efficient object detection and position identification in robotic vision systems, including a novel RLE-based Hough transform algorithm for humanoid robot applications. Demidenko also made meaningful contributions to mobile robotics, developing predictive controllers using global vision sensing and Kalman filtering for target interception, and exploring fuzzy logic approaches to autonomous obstacle avoidance. Beyond technical research, he demonstrated a strong commitment to engineering pedagogy, authoring influential work on robotics competitions and project-based learning as vehicles for student engagement and workforce preparation (2009–2010). With a research portfolio accumulating over 270 citations across disciplines, Demidenko stands as a versatile contributor whose work bridges cutting-edge robotics research and the practical development of the next generation of engineers.
Research Focus
Key Achievements
Top Papers
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- 3Hough Transform Run Length Encoding for Real-Time Image Processing29 citations · 2007
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- 5Robotics competitions in engineering eduction26 citations · 2009
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- 9Recent Advances in Robotics and Automation12 citations · 2013
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