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About

Faezeh Iranmanesh is a roboticist whose research focuses on humanoid locomotion, specifically the biomechanically inspired motions of heel-strike and toe-off. Her work centers on optimizing walking patterns for humanoid robots equipped with active toe joints, aiming to enhance both energy efficiency and dynamic stability. In her most-cited paper (2018, 11 citations), she developed a full dynamic model and optimization procedure to generate optimal heel-strike and toe-off trajectories for various performance goals. Earlier foundational work (2015, 7 citations) introduced a gait planning method for a 2D humanoid, balancing energy consumption with stability margins through coordinated ankle and hip joint control. Iranmanesh’s contributions are notable for bridging human gait biomechanics with robotic control, addressing a key challenge in achieving more natural and efficient bipedal walking. Her research has practical implications for the design of humanoid robots capable of navigating human environments, and her optimization frameworks provide a basis for further advances in legged locomotion. With cumulative citations across her publications, Iranmanesh is recognized for advancing the state of the art in humanoid walking dynamics.