Mohsen Shahraki

K.N.Toosi University of Technology, Toronto Metropolitan University

Papers

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About

Mohsen Shahraki is a robotics researcher whose work centers on system identification, autonomous control, and visual perception for mobile platforms. His foundational contribution, "Two wheel self-balanced mobile robot identification based on experimental data" (2017, 9 citations), addresses the critical challenge of dynamic equilibrium in two-wheeled self-balancing robots. By developing a rigorous two-phase system identification process using experimental data, Shahraki provided a practical framework for modeling and stabilizing these inherently unstable systems—a key step toward reliable autonomous navigation. More recently, his forward-looking survey "Event-Based Visual Simultaneous Localization and Mapping (EVSLAM) Techniques: State of the Art and Future Directions" (2025, 4 citations) captures the cutting edge of robotics perception. This work explores how event-based cameras, which capture asynchronous pixel-level brightness changes, are revolutionizing visual SLAM by enabling real-time motion estimation and mapping in high-speed or low-light conditions where traditional cameras fail. Shahraki’s research bridges classical control theory with emerging neuromorphic sensing, offering students and researchers a clear pathway from foundational robot dynamics to next-generation autonomous systems.