Mahsa Khalili

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About

Mahsa Khalili’s research lies at the intersection of robotics, system identification, and mechanical power transmission, with a focus on enhancing the precision and control of humanoid robots. Her most-cited work, “System identification of a humanoid robot power transmission system” (2014), tackles a fundamental challenge in robotics: accurately modeling the complex dynamics of electrical actuators, gearboxes, and belt-and-pulley systems that convey power to robotic joints. By developing rigorous identification methods for these powertrain components, Khalili has contributed to improving robot motion fidelity and control stability—critical for tasks requiring delicate balance and coordination. Though her citation count (3 for this paper) reflects a niche but specialized audience, her work is foundational for researchers refining humanoid robot locomotion and manipulation. Her achievements demonstrate a deep technical grasp of electromechanical systems, bridging theoretical modeling with practical robotic applications. For students and researchers in robotics and control engineering, Khalili’s research offers essential insights into the often-overlooked but vital role of power transmission in achieving lifelike, reliable robot performance.