About

Yuhong Zheng is a robotics researcher whose work spans mobile robot navigation and surgical robotics, with a particular focus on improving precision in complex environments. In mobile robotics, Zheng developed an integrated navigation algorithm combining template matching visual odometry, IMU, and UWB technology to overcome challenges like non-line-of-sight and multipath interference in indoor positioning. This work, cited 18 times, addresses critical limitations of single-sensor approaches. Zheng's contributions to medical robotics are equally significant, including the design of a vascular interventional surgical robot with master-slave teleoperation that accounts for network time delays—a vital consideration for safe endovascular procedures. Additionally, Zheng has advanced image segmentation for interventional robots, proposing an improved U-Net model and a multi-lateral branched network for endovascular tool segmentation during robot-assisted catheterization. These innovations enhance visualization and tracking, directly addressing the poor illumination and lack of real-time motion analytics that currently limit robotic catheterization. With a research portfolio that bridges autonomous navigation and surgical assistance, Zheng demonstrates a commitment to solving practical challenges in robotics, from indoor positioning to life-saving medical interventions.

Research Focus

Key Achievements

3
H-Index
4
Papers
31
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Mobile Robot Integrated Navigation Algorithm Based on Template Matching VO/IMU/UWB
18 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Ministry of Industry and Information Technology, Chinese Academy of Sciences, Dalian Maritime University, Shenzhen Institutes of Advanced Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago