Papers
2
Total Citations
15
H-Index
2
About
Dr. MingHao Zhao is a rising researcher in underwater robotics and human–robot interaction, with a focus on enabling autonomous underwater vehicles (AUVs) to operate effectively in challenging marine environments. His work centers on gesture-based control systems and lightweight computer vision methods for real-time underwater perception. In his 2021 paper, "A Method for Underwater Human–Robot Interaction Based on Gestures Tracking with Fuzzy Control," Zhao introduced a novel approach combining gesture recognition with fuzzy logic to improve intuitive communication between divers and AUVs—a critical step for safer, more efficient underwater operations. More recently, his 2024 study, "A Lightweight Underwater Instance Segmentation Method Based on YOLOv8 and RFAHead," addresses the pressing need for accurate object identification on resource-constrained AUVs. By adapting the YOLOv8 architecture with a Receptive Field Attention (RFA) head, Zhao’s method achieves robust instance segmentation despite poor visibility and limited computational power. With over 15 citations to date, his contributions are gaining traction among researchers developing practical, deployable solutions for underwater exploration, inspection, and intervention.
Research Focus
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Top Papers
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