Chaofan Wu
Papers
2
Total Citations
11
H-Index
2
About
Chaofan Wu is a researcher whose work bridges robotics, optimization, and intelligent control systems. Their primary research areas include spray painting robotics, trajectory planning, and novel multicopter design. Wu’s most impactful contribution is a genetic algorithm-based surface segmentation method for spray painting robotics, which introduces two novel approaches for complex surface segmentation in robot spray trajectory planning. This work, cited 8 times, enables the separation of the largest surface patch or the division of surfaces with minimal segments, significantly improving efficiency in automated manufacturing. In the domain of aerial robotics, Wu proposed a groundbreaking multicopter structure with propellers installed in three distinct directions, achieving complete independent control of position and attitude. This innovation, cited 3 times, allows simultaneous control of desired position and attitude, offering new possibilities for precision maneuvering in constrained environments. Wu’s work demonstrates a talent for solving practical engineering challenges through algorithmic and mechanical innovation, making notable contributions to both industrial robotics and unmanned aerial vehicle design.
Research Focus
Key Achievements
Top Papers
- 1
- 2Modeling and control of a new multicopter3 citations · 2017