Minghao Zhao
Papers
2
Total Citations
36
H-Index
2
About
Minghao Zhao is a leading researcher in underwater human–robot interaction, with a focus on enabling seamless communication between divers and autonomous underwater vehicles (AUVs). His work addresses the formidable challenges of underwater vision, where variable lighting, turbidity, and dynamic environments hinder traditional gesture recognition. Zhao’s key contributions include developing robust methods for diver hand gesture segmentation and recognition, as well as pioneering visual–textual models that allow AUVs to interpret both visual cues and textual commands. His most cited papers—"Diver’s hand gesture recognition and segmentation for human–robot interaction on AUV" (2021, 20 citations) and "An Underwater Human–Robot Interaction Using a Visual–Textual Model for Autonomous Underwater Vehicles" (2022, 16 citations)—demonstrate significant impact in advancing intuitive, non-verbal interfaces for underwater robotics. By tackling the unique visual challenges of the marine environment, Zhao’s research enhances the safety and efficiency of diver-AUV collaboration, with applications in ocean exploration, underwater inspection, and search-and-rescue missions. His work stands as a vital step toward more autonomous and responsive underwater systems.
Research Focus
Key Achievements
Top Papers
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