Aziz Sezgin

Papers

Total Citations

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About

Aziz Sezgin is an emerging researcher specializing in mobile robotics, autonomous systems, and advanced control strategies. His work focuses on the intersection of motion planning and trajectory control for nonholonomic robotic systems, particularly differential drive mobile robots (DDMRs). Sezgin's most cited contribution, "Trajectory Tracking via Backstepping Controller with PID or SMC for Mobile Robots" (2023), demonstrates his expertise in applying sophisticated control architectures — combining backstepping methodology with both PID and Sliding Mode Control (SMC) — to solve real-world trajectory tracking challenges in autonomous applications. This work has garnered 4 citations, reflecting growing interest in his approach within the robotics community. His subsequent research, "Trajectory Planning With A* Algorithm and Tracking With Multiple Controllers" (2024), extends this foundation by integrating path planning algorithms with multi-controller frameworks, showcasing a holistic approach to autonomous robot navigation from mathematical modeling through simulation. Sezgin's contributions are particularly relevant to industrial automation and academic robotics research, where reliable and precise autonomous navigation remains a critical challenge. His progressive body of work positions him as a promising voice in the field of intelligent mobile robotics and control systems engineering.