Papers
1
Total Citations
3
H-Index
1
About
Vlad Barbulescu is a robotics researcher whose work focuses on mobile robot control, path tracking, and odometry systems, particularly for omnidirectional platforms. His key contributions lie in developing adaptive control strategies for complex robotic structures, as demonstrated in his most-cited paper, "Encoder-based path tracking with adaptive cascaded control for a three omni-wheel robot" (2017, 3 citations). This work addresses a critical challenge in mobile robotics: maximizing the maneuverability of omnidirectional robots using cost-effective, encoder-based sensing rather than expensive external sensors. By designing an adaptive cascaded control system, Barbulescu enables precise path tracking despite the inherent limitations of odometry, making advanced robotic mobility more accessible. His research bridges the gap between theoretical control design and practical implementation, offering solutions that are both robust and economical. While his citation count is modest, his work is foundational for researchers exploring low-cost, high-performance control in mobile robotics, particularly for applications requiring agile, three-wheeled omnidirectional platforms. Barbulescu’s contributions highlight the importance of adaptive systems in overcoming sensor constraints, a theme that resonates in the broader field of autonomous navigation.
Research Focus
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Top Papers
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