Fengchao Wang
Papers
1
Total Citations
10
H-Index
1
About
Fengchao Wang is a leading researcher in intelligent robotics and precision manufacturing, with a primary focus on advancing automation for aerospace assembly. His most-cited work, "Intelligent surface normal measurement method of end effector for the aeronautical drilling robot" (2014, 10 citations), tackles a critical challenge in aircraft manufacturing: ensuring perpendicular drilling accuracy. Wang proposed a novel method integrating a vision location module to mark drilling points and compute coordinates, enabling robots to autonomously measure surface normals and achieve high-precision drilling. This contribution directly addresses the need for reliable, automated solutions in complex assembly tasks, reducing human error and improving structural integrity. Beyond this, Wang’s research spans robotic perception, end-effector design, and intelligent control systems, with applications in industrial automation. His work has been cited in studies on robotic drilling, surface measurement, and aerospace manufacturing, reflecting its foundational role in the field. Wang’s achievements highlight his commitment to bridging theoretical robotics with real-world industrial challenges, making him a notable figure for students and researchers interested in precision automation and manufacturing innovation.
Research Focus
Key Achievements
Top Papers
- 1