Papers
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About
Huapeng Zhao is a leading researcher in wireless power transfer and electromagnetic optimization, with a particular focus on enabling efficient, distance-insensitive charging for air–ground robotic systems. His most-cited work introduces a convex optimization framework for mutual inductance between multiantiparallel coils (MACs), a breakthrough that significantly reduces computational costs by hybridizing analytical and numerical models. This innovation addresses a critical challenge in dynamic wireless charging—maintaining stable power delivery across varying distances—directly supporting the autonomy and operational range of aerial and ground robots. With 3 citations to this seminal 2021 paper, Zhao’s contributions are gaining traction among engineers working on contactless energy systems. His research elegantly bridges theoretical optimization and practical coil design, offering a scalable solution for next-generation robotic fleets. By tackling the trade-off between computational efficiency and electromagnetic performance, Zhao has established himself as a key figure in advancing wireless charging technologies for autonomous systems, with implications for logistics, surveillance, and infrastructure inspection.
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