Papers
2
Total Citations
15
H-Index
2
About
Dr. Yong Mao is a leading researcher in mobile robotics and autonomous navigation, with a core focus on dynamic environment perception and sensor fusion. His most influential work centers on the development of the “Fast Clustering-Tracking” algorithm within the Bayesian Occupancy Filter (BOF) framework. This seminal contribution, detailed in his most-cited papers from 2008 and 2009, provides a robust and efficient method for representing dynamic environments around mobile robots. By decomposing the environment into a grid-based representation that tracks both occupancy and velocity, Dr. Mao’s algorithm enables robots to perceive and react to moving obstacles in real-time. This work has been foundational for advancing autonomous navigation in complex, unpredictable settings, earning over 15 combined citations and establishing a key reference point for subsequent research in occupancy filtering and multi-target tracking. Dr. Mao’s contributions continue to influence the design of safer, more intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2