Guan-Rong Shih
Papers
2
Total Citations
10
H-Index
2
About
Guan-Rong Shih is a robotics researcher whose work focuses on developing autonomous systems for critical safety and disaster response applications. His primary research areas include search and rescue (SAR) robotics, autonomous navigation in hazardous environments, and robot self-preservation strategies. Shih’s most notable contribution is his "Speed up Approach for Search and Rescue" (2018, 6 citations), which addresses the critical challenge of minimizing search time in difficult terrains such as mountains, marine environments, and rainforests—directly impacting survival rates by accelerating victim location. His work on "A Self-Evacuation Approach for Robots in Fire Disasters" (2023, 4 citations) tackles the practical problem of protecting expensive robotic sensors from fire damage, proposing autonomous evacuation strategies that prevent costly equipment loss and operational downtime in industrial settings. By focusing on time-critical SAR operations and robot self-preservation during fires, Shih bridges the gap between theoretical robotics and real-world emergency response, offering practical solutions that enhance both human safety and robotic asset protection. His research is particularly valuable for students and engineers interested in deploying robots in high-risk, time-sensitive environments.
Research Focus
Key Achievements
Top Papers
- 1A Speed up Approach for Search and Rescue6 citations · 2018
- 2A Self-Evacuation Approach for Robots in Fire Disasters4 citations · 2023