Bocheng Niu
Papers
1
Total Citations
11
H-Index
1
About
Bocheng Niu is a researcher at the forefront of underwater robotics, specializing in tightly coupled multi-sensor fusion for autonomous manipulation in challenging marine environments. His work centers on visual-inertial-DVL (Doppler Velocity Log) positioning systems, addressing the critical challenge of unstable visual feedback during real-time, small-target capture tasks. Niu’s most cited paper, “Tightly Coupled Binocular Vision-DVL Fusion Positioning Feedback for Real-time Autonomous Sea Organism Capture” (2022, 11 citations), introduces a novel framework that integrates binocular vision with DVL data to maintain robust positioning accuracy even when visual matching is intermittent or degraded. This contribution is pivotal for enabling autonomous underwater vehicles to perform delicate operations—such as capturing sea organisms—without relying on continuous, high-quality visual input. By advancing sensor fusion techniques, Niu’s work directly supports the development of low-cost, reliable autonomous systems for marine biology and environmental monitoring. His research bridges the gap between theoretical positioning algorithms and practical underwater manipulation, offering a scalable solution for real-world deployment.
Research Focus
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Top Papers
- 1