Yunfei Bai

University of Chinese Academy of Sciences

Papers

Total Citations

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About

Yunfei Bai is a researcher specializing in underwater robotics and marine technology, with a focus on developing innovative systems that push the boundaries of deep-sea exploration. His work bridges the fields of computer vision, autonomous underwater vehicles, and energy-efficient mechanical design, addressing some of the most technically demanding challenges in subsea engineering. Among his notable contributions, Bai's 2019 research on underwater stereo vision systems stands out as his most influential work, accumulating 16 citations. This paper introduced a novel approach to underwater object detection and 3D reconstruction, tackling the notoriously difficult optical conditions of the underwater environment where light distortion, turbidity, and pressure create significant obstacles for conventional imaging systems. By leveraging stereo vision technology, his system offers richer spatial data than traditional acoustic alternatives. Complementing this, Bai has also investigated energy-efficient buoyancy regulation for underwater robots, proposing an accumulator-based system designed to minimize energy consumption during vertical maneuvering in deep-sea conditions — a critical consideration for extending the operational endurance of autonomous underwater vehicles. Together, his contributions reflect a commitment to making underwater robotics more capable, efficient, and practical for real-world marine applications.