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About

Moh Shahid Khan is a robotics researcher specializing in bipedal locomotion and dynamic gait generation for humanoid robots. His work focuses on enabling biped robots to navigate complex, unstructured terrains—such as crossing obstacles and ditches—by leveraging the Zero Moment Point (ZMP) stability criterion. Khan’s most cited paper, “A review on gait generation of the biped robot on various terrains” (2023, 32 citations), provides a comprehensive survey of gait planning strategies, highlighting the growing industrial and non-industrial demand for versatile biped robots. He has further advanced the field by designing dynamically balanced gaits for 16-DOF biped robots during obstacle and ditch crossing, as detailed in his 2024 publications. Notably, his research on “Optimizing PID control for enhanced stability of a 16‐DOF biped robot during ditch crossing” (2024) integrates proportional–integral–derivative control to refine gait planning algorithms, bridging theoretical modeling with practical implementation. With a cumulative citation count approaching 40, Khan’s contributions are shaping the next generation of adaptive, stable bipedal robots capable of operating in challenging real-world environments.