Song-Shyong Chen
Papers
3
Total Citations
15
H-Index
3
About
Song-Shyong Chen is a robotics researcher focused on advancing autonomous cleaning technologies for large-scale indoor environments. His primary research areas include mobile robotics, path planning, obstacle avoidance, and the development of high-endurance cleaning systems. Chen’s major contributions center on designing robots with omni-directional wheels and tricycle drives that can navigate complex spaces autonomously, addressing critical labor shortages and overwork issues in the cleaning industry. His work on scanning-based path planning and real-time path correction has improved robot efficiency and reliability in nighttime operations. Each of his three most-cited papers has garnered 5 citations, reflecting steady interest in practical solutions for automated cleaning. Notably, Chen’s research directly tackles global demographic challenges—aging populations and declining workforces—by creating robots that can replace manual labor in large spaces like airports or convention centers. His innovative use of laser scanners for obstacle avoidance and durable mechanical designs positions his work as a meaningful step toward safer, more sustainable cleaning operations.
Research Focus
Key Achievements
Top Papers
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