Mohsen Parsa

Iran University of Science and Technology

Papers

Total Citations

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About

Mohsen Parsa is a robotics researcher whose work focuses on advancing the control and locomotion of bipedal robots, with a particular emphasis on achieving human-like, stable, and adaptive walking. His key research areas include nonlinear model predictive control (NMPC), robust control strategies, and disturbance rejection techniques for legged locomotion. Parsa’s major contributions center on developing trajectory-free control frameworks that allow biped robots to dynamically adjust their gait without relying on pre-planned paths. In his most-cited work (2010, 13 citations), he introduced a robust NMPC approach integrated with a nonlinear disturbance observer, enabling biped robots to mimic the optimal and constraint-based nature of human walking while maintaining safety and stability under uncertainties. His subsequent 2011 paper (3 citations) extended this concept by incorporating adaptive gait length, further enhancing the robot’s ability to respond to changing environments. Though his citation counts are modest, Parsa’s work is notable for its innovative departure from traditional trajectory-tracking methods, offering a more flexible and resilient control paradigm. His research contributes foundational insights for the next generation of autonomous, humanoid robots capable of navigating complex, real-world terrains.