Yaowen Zhang
Papers
3
Total Citations
37
H-Index
3
About
Yaowen Zhang’s research bridges advanced robotics and real-world public health and manufacturing challenges. His primary contributions lie in autonomous navigation, SLAM-based mobile robotics, and intelligent welding trajectory recognition. Zhang’s most impactful work, “A novel approach for robotic welding trajectory recognition based on pseudo-binocular stereo vision” (2024, 28 citations), introduces a cost-effective vision system that significantly improves real-time welding accuracy, advancing automated manufacturing. During the COVID-19 pandemic, Zhang led the design and development of a new autonomous disinfection robot (2021, 6 citations), deploying a hydrogen peroxide vapor (HPV) system integrated with SLAM and ROS. This robot was successfully tested in diverse indoor environments—laboratories, libraries, hospitals, and hotels—demonstrating its practical utility in infection control. His subsequent research on trajectory recognition and control technology for real-time tracking welding (2022, 3 citations) further refines adaptive robotic control. Zhang’s work exemplifies how robotics can solve pressing societal needs while advancing industrial automation. His achievements highlight a commitment to deploying robust, real-world solutions that bridge theoretical robotics with tangible impact.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3