Zhenchao Ouyang
Papers
4
Total Citations
24
H-Index
4
About
Zhenchao Ouyang is a pioneering researcher in robotics and autonomous systems, with a focus on LiDAR technology, edge computing, and semantic SLAM. His major contributions include the development of αLiDAR, an adaptive high-resolution panoramic LiDAR system that overcomes traditional limitations in field of view, resolution, and focusing flexibility—critical for applications in robotics, autonomous driving, and urban planning. Ouyang also advanced industrial automation through edge computing-based 3D pose estimation and calibration for robot arms, enhancing precision in intelligent manufacturing during the COVID-19 pandemic. His work on semantic SLAM integrates human-in-the-loop feedback for mobile robot navigation, while his low-cost LiDAR-based vehicle detection system enables self-driving container trucks in seaports, demonstrating practical, cost-effective solutions. With over 24 citations across his top papers, Ouyang’s research bridges theoretical innovation and real-world deployment, making significant strides in autonomous navigation and sensor systems. His adaptive LiDAR design and edge computing approaches are particularly notable for their potential to transform industries reliant on high-fidelity environmental perception.
Research Focus
Key Achievements
Top Papers
- 1αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System7 citations · 2024
- 2Edge Computing-based 3D Pose Estimation and Calibration for Robot Arms7 citations · 2020
- 3Semantic SLAM for Mobile Robot with Human-in-the-Loop6 citations · 2022
- 4