Papers
1
Total Citations
2
H-Index
1
About
Erwei Su is a robotics researcher whose work centers on computer vision and autonomous systems, with a particular focus on enhancing robotic perception in dynamic environments. His most notable contribution, detailed in the 2021 paper "Target Detection in NAO Robot Golfing," addresses the challenge of small object tracking under adverse conditions such as uneven lighting and blurred boundaries. By integrating the random Hough transform with the Kalman filter, Su developed a robust detection method that significantly improves a robot's ability to identify and follow targets—a critical step for scoring in robotic golfing applications. While his work has garnered over 2 citations, its impact lies in its practical approach to solving real-world vision problems in humanoid robotics. Su's research demonstrates a keen ability to bridge theoretical algorithms with tangible robotic tasks, offering valuable insights for students and researchers exploring sensor fusion, object tracking, and autonomous decision-making. His work serves as a stepping stone for advancing robot autonomy in sports and beyond, highlighting the importance of adaptive vision systems in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1Target Detection in NAO Robot Golfing2 citations · 2021