Papers
2
Total Citations
6
H-Index
2
About
Hongling Han’s research focuses on autonomous navigation and intelligent control systems for mobile robots, particularly in indoor environments. Her major contributions lie in integrating infrared guidance with advanced algorithms to enhance robot autonomy when global positioning is unavailable. In her most cited work, "Path Planning of an Indoor Mobile Robot Navigated by Infrared" (2010, 4 citations), Han pioneered a hybrid approach combining resolution-changed time-varying potential field algorithms with fuzzy logic control. This innovation enables robots to detect environmental obstacles via laser radar while relying on infrared signals for target localization, significantly improving path planning efficiency in dynamic settings. Her earlier study, "System Design of an Indoor Mobile Robot Navigated by Infrared" (2008, 2 citations), established foundational system architectures where robots autonomously seek power sources by communicating with infrared-emitting charging stations. Han’s work demonstrates practical applications in service robotics and industrial automation, addressing real-world challenges like energy management and obstacle avoidance. Though her citation counts are modest, her contributions to sensor fusion and adaptive control remain relevant for researchers developing cost-effective, reliable indoor navigation systems.
Research Focus
Key Achievements
Top Papers
- 1Path Planning of an Indoor Mobile Robot Navigated by Infrared4 citations · 2010
- 2System Design of an Indoor Mobile Robot Navigated by Infrared2 citations · 2008