Mansoureh Jesmani

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About

Mansoureh Jesmani is a researcher whose work lies at the intersection of bio-inspired robotics and optimization, with a primary focus on the locomotion efficiency of snake robots. Her research addresses a critical challenge in robotics: enabling serpentine machines to move effectively in complex, unstructured environments where traditional wheeled or legged robots struggle. Jesmani’s major contributions include pioneering multi-objective optimization frameworks for both land-based and underwater snake robots. Her most cited paper, "Locomotion Efficiency Optimization of Biologically Inspired Snake Robots" (2018, 42 citations), explores how to maximize energy efficiency and movement performance in these systems. In her earlier work, "Multi-objective optimization for efficient motion of underwater snake robots" (2016, 24 citations), she extended these principles to aquatic environments, addressing the unique hydrodynamic constraints of swimming snake robots. Through her optimization-driven approach, Jesmani has advanced the practical viability of snake robots for applications such as search-and-rescue, environmental monitoring, and underwater exploration. Her research continues to inspire new generations of roboticists seeking to bridge the gap between biological inspiration and engineering efficiency.