Beigao Chen
Papers
1
Total Citations
8
H-Index
1
About
Beigao Chen is a researcher whose work lies at the intersection of robotics, manufacturing, and advanced surface engineering. His primary research focus is on developing innovative trajectory planning methods for robotic cold spray applications—a critical technology for repairing and coating high-value components. Chen’s most-cited paper, "A Geodesic-Based Robot Trajectory Planning Approach for Cold Spray Applications" (2019), introduces a novel geodesic-driven path planning algorithm that optimizes robot motion for uniform coating deposition on complex curved surfaces. This contribution addresses a fundamental challenge in automated manufacturing: ensuring consistent material application while minimizing robot joint strain and cycle time. Though his citation count (8) reflects an early-career stage, the work has been recognized for its practical relevance in aerospace and automotive repair industries. Chen’s approach bridges computational geometry and industrial robotics, offering a scalable solution for precision manufacturing tasks. His research is particularly valuable for students and engineers seeking to understand how mathematical principles like geodesics can directly improve real-world robotic performance. As the demand for automated repair and coating technologies grows, Chen’s work positions him as a promising voice in the evolution of smart manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1