Yongji Zhang
Papers
1
Total Citations
16
H-Index
1
About
Dr. Yongji Zhang is a leading researcher in underwater human-robot interaction and autonomous underwater vehicle (AUV) perception systems. Their most influential work, "An Underwater Human–Robot Interaction Using a Visual–Textual Model for Autonomous Underwater Vehicles" (2022, 16 citations), tackles the formidable challenge of enabling intuitive communication between divers and AUVs in complex marine environments. Dr. Zhang pioneered a visual-textual model that allows AUVs to reliably recognize diver gestures despite the severe visual degradation caused by light scattering, absorption, and turbidity underwater. This contribution directly addresses a critical bottleneck in underwater robotics, where traditional gesture recognition fails due to poor visibility and dynamic lighting conditions. By bridging the gap between human divers and autonomous systems, Dr. Zhang’s work enhances the safety and efficiency of underwater operations, from marine research to infrastructure inspection. Their research represents a significant step toward seamless human-robot collaboration in one of Earth’s most challenging environments, establishing a foundation for future advancements in underwater AI and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1