Junying Yun
Papers
1
Total Citations
27
H-Index
1
About
Dr. Junying Yun is a robotics researcher whose work focuses on intelligent autonomous systems for hazardous environments, particularly indoor firefighting and inspection. Their most-cited paper, "An Indoor Autonomous Inspection and Firefighting Robot Based on SLAM and Flame Image Recognition" (2023, 27 citations), addresses the critical challenge of navigating complex, smoke-filled indoor spaces during fires. Yun’s key contribution lies in integrating Simultaneous Localization and Mapping (SLAM) with flame image recognition, enabling robots to autonomously detect fires, map dynamic environments, and navigate obstacles like high temperatures and dense smoke. This work bridges computer vision and robotics, offering a practical solution for first responders. Beyond this flagship study, Yun’s research portfolio explores sensor fusion and real-time decision-making for disaster response. With growing citation impact, their innovations are shaping next-generation emergency robots, reducing human risk in life-threatening scenarios. Yun’s achievements highlight a commitment to translating cutting-edge robotics into tangible safety tools, making them a notable figure in autonomous rescue systems.
Research Focus
Key Achievements
Top Papers
- 1