Chuan‐Yu Chang
Papers
6
Total Citations
39
H-Index
4
About
Chuan-Yu Chang is a leading researcher in intelligent robotics and autonomous navigation, with a focus on developing practical, sensor-driven systems for service robots. His major contributions span high-efficiency recharging mechanisms, multi-sensor fusion for obstacle detection, and deep learning applications in robotic tasks. Chang’s work on a cleaning robot recharging mechanism, which combines motor control and multi-sensor feedback to enable automatic return to charging stations, has garnered 12 citations, highlighting its impact on household robotics. He also advanced collision-free path planning through a novel 3D-to-2D LiDAR point cloud segmentation method (8 citations), addressing illumination and reflectance challenges in computer vision. His intelligent surrounding recognition system, integrating laser range finders, cameras, and Zigbee modules (7 citations), enables robust robot direction control and remote monitoring. Notably, Chang’s recent deep learning-based leaf blow robot (6 citations) and RTK-GPS path planning for robotic lawnmowers (3 citations) demonstrate his commitment to automating outdoor tasks. His work on “New Trends in Computer Technologies and Applications” (3 citations) further underscores his role in shaping emerging robotics trends. With a focus on real-world deployment, Chang’s research continues to enhance the efficiency and autonomy of service robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Intelligent Surrounding Recognition for Robot Direction Control7 citations · 2020
- 4A Smart Leaf Blow Robot Based on Deep Learning Model6 citations · 2023
- 5Path Planning Algorithm for Robotic Lawnmower using RTK-GPS Localization3 citations · 2020
- 6New Trends in Computer Technologies and Applications3 citations · 2019