Maryam Shakiba

Papers

Total Citations

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About

Maryam Shakiba’s research lies at the intersection of bio-inspired robotics and mechanical design, with a focus on developing adaptive locomotion systems. Her most cited work, “An adaptable cat-inspired leg design with frequency-amplitude coupling” (2016, 5 citations), introduces a novel robotic leg that mimics the domestic cat’s ability to vary stride length with motion frequency. By employing a four-bar linkage mechanism and a unidirectional hip actuator, Shakiba’s design achieves efficient, naturalistic gait modulation without complex control systems. This contribution is notable for its elegant mechanical solution to a core challenge in legged robotics: achieving speed-dependent stride adaptation through passive dynamics. While her citation count reflects a focused, early-career impact, the work demonstrates a deep understanding of biological principles and their translation into practical hardware. Shakiba’s approach—prioritizing mechanical intelligence over computational complexity—offers a compelling alternative for robust, energy-efficient robotic locomotion. Her research is particularly valuable for students and engineers exploring minimalist bio-inspired designs, where form and function converge to solve real-world mobility challenges.