Rong-Guei Tsai

About

Rong-Guei Tsai is a robotics researcher whose work focuses on autonomous path planning and navigation for specialized robots in critical real-world applications. His core research areas include UV disinfection robotics, disaster response systems, and environmental cleaning robots. Tsai’s major contributions center on developing novel path planning algorithms that optimize robot efficiency in complex, dynamic environments. His most cited work, "UV*: A Boustrophedon Pattern-Based Path Planning and Optimization Strategy for an Ultraviolet Disinfection Robot" (2023, 9 citations), addresses the urgent need for effective, non-polluting antivirus solutions during the COVID-19 pandemic. He has also pioneered self-evacuation approaches for robots in fire disasters (2023, 4 citations), protecting costly sensors from damage, and designed GA-based and improved A* algorithms for surface garbage cleaning robots (2023, 3 citations; 2025, 2 citations) to combat the global marine debris crisis. Tsai’s research demonstrates a clear commitment to socially impactful robotics, from public health to environmental protection and industrial safety. His work is particularly notable for its practical, application-driven approach, offering innovative solutions to pressing global challenges through intelligent robot navigation.

Research Focus

Key Achievements

Top Papers

1. 1
   UV*: A Boustrophedon Pattern-Based Path Planning and Optimization Strategy for an Ultraviolet Disinfection Robot

   9 citations · 2023
2. 2
   A Self-Evacuation Approach for Robots in Fire Disasters

   4 citations · 2023
3. 3
   U*: GA-based path planning algorithm for surface floating garbage cleaning robot

   3 citations · 2023
4. 4
   Emperor Yu Tames the Flood: Water Surface Garbage Cleaning Robot Using Improved A* Algorithm in Dynamic Environments

   2 citations · 2025

Key Collaborators

Contact & Links