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3
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About
Menghan Sun is a leading researcher in wireless power transfer and robotics, with a focus on enabling efficient, distance-insensitive charging systems for autonomous air–ground robots. Their most-cited work, “Convex Optimization of Mutual Inductance Between Multiantiparallel Coils for Distance-Insensitive Wireless Charging of Air–Ground Robots” (2021), introduces a novel approach to optimizing mutual inductance in multiantiparallel coil (MAC) arrays. By hybridizing analytical and numerical models, Sun’s method significantly reduces optimization costs while maintaining robust charging performance across varying distances—a critical challenge for dynamic robotic fleets. This contribution has garnered 3 citations and underscores Sun’s ability to bridge theoretical optimization with practical hardware design. Their research directly impacts the scalability of autonomous systems, from delivery drones to field robots, by eliminating the need for precise alignment during charging. Sun’s work exemplifies how convex optimization can be applied to electromagnetic systems, offering a blueprint for future innovations in contactless energy transfer. As a researcher, Sun continues to advance the intersection of control theory, electromagnetics, and robotics, making their profile essential reading for those exploring next-generation wireless charging solutions.
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