Humayun Khan

NED University of Engineering and Technology

Papers

Total Citations

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About

Humayun Khan’s research centers on the intersection of robotics and mechanical design, with a particular focus on motor selection and parametric optimization for mobile robot locomotion. In his most-cited work, “Motor Parametric Calculations for Robot Locomotion” (2022), Khan introduces a systematic method for calculating motor parameters based on known payload requirements, addressing a critical gap in robot design. This contribution simplifies the motor selection process, enabling engineers to match power, torque, and speed specifications to specific locomotion tasks—enhancing both efficiency and payload capacity. Though early in his career, with 2 citations to this paper, Khan’s work has practical implications for robotics education and prototyping, offering a clear, replicable framework for designers. His approach bridges theoretical motor dynamics with real-world application, making him a rising voice in applied robotics. Khan’s research is particularly valuable for students and engineers seeking to optimize robot performance without trial-and-error methods, positioning him as a thoughtful contributor to the field of mechatronic design.