Kezhong He
Papers
10
Total Citations
81
H-Index
5
About
Kezhong He is a pioneering researcher in autonomous mobile robotics, with a career spanning foundational work in intelligent navigation, obstacle avoidance, and high-speed autonomous driving. His key research areas include predictive control, sensor fusion, and fuzzy logic-based navigation for outdoor mobile robots. He is best known for developing THMR-V (Tsinghua Mobile Robot V), a high-speed autonomous system capable of driving over 120 km/h on structured roads—a landmark achievement in the early 2000s. He also introduced the Angle Potential Field method, a novel approach that transforms 2D obstacle data into a 1D angle field for efficient real-time navigation. His work on integrating GPS with a Compass-Encoder Positioning System (CEPS) provided a cost-effective, robust localization solution for outdoor robots. With over 80 citations across his most influential papers, He’s contributions have shaped the trajectory of autonomous vehicle research, particularly in predictive path tracking and sensor-based navigation in uncertain environments. His early adoption of fuzzy logic for behavior fusion and virtual reality simulation further underscores his role as a forward-thinking innovator in intelligent mobile systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2THMR-V: an effective and robust high-speed system in structured road13 citations · 2004
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- 5
- 6A novel obstacle avoidance and navigation method of outdoor mobile robot4 citations · 2006
- 7Teleoperation system for multiple mobile robots3 citations · 2011
- 8
- 9Research of intelligent mobile robot key techniques2 citations · 2002
- 10