Zhaoqi Huang
Papers
1
Total Citations
6
H-Index
1
About
Zhaoqi Huang is a leading researcher at the intersection of robotics, structural engineering, and intelligent manufacturing. His work centers on developing autonomous systems for construction and industrial environments, with a particular focus on adaptive robotic welding and real-time environmental perception. Huang’s most notable contribution is his pioneering "Self-adaptive seam detection framework for unmanned structural steel welding robots in unstructured environments" (2025), which has already garnered 6 citations—a strong early indicator of its influence. This framework addresses a critical challenge in construction robotics: enabling robots to autonomously detect and track welding seams in unpredictable, non-repetitive settings without human intervention. By integrating advanced computer vision and adaptive control algorithms, Huang’s work pushes the boundaries of what unmanned systems can achieve in hazardous or hard-to-reach structural steel applications. His research holds promise for transforming safety and efficiency in the construction industry, reducing human exposure to dangerous welding tasks. As an emerging scholar, Huang’s early citation impact signals a rising trajectory, and his work is already inspiring further innovations in adaptive robotics for unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1