Papers
6
Total Citations
32
H-Index
4
About
Hui Zhang is a robotics and autonomous systems researcher whose work centers on mobile robot localization, navigation, and intelligent perception. Zhang has made meaningful contributions to the challenge of enabling robots to operate autonomously in real-world environments, tackling problems that span both indoor positioning and path planning. Among Zhang's most recognized contributions is a machine vision-based method for detecting and locating electric vehicle charging ports, supporting fully automated robotic charging systems — a practical advancement with direct industrial relevance. Zhang has also advanced indoor robot localization through multiple approaches, including an RFID-based positioning system, a UWB-based method tailored for medical ward environments, and a weight-adaptive Kalman filter that fuses UWB with odometry data for improved centimeter-level accuracy — work that has collectively garnered over 25 citations. More recently, Zhang has addressed autonomous navigation challenges through an improved parallel-sampling RRT combined with offset-guided DWA for dynamic obstacle avoidance, and a bidirectional ant colony optimization algorithm for efficient path planning. These contributions reflect a sustained commitment to making robots more reliable and adaptable across complex, real-world settings — work that holds growing relevance as autonomous robots increasingly enter healthcare, transportation, and service industries.
Research Focus
Key Achievements
Top Papers
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- 4A location method based on UWB for ward scene application4 citations · 2021
- 5Reliable and efficient RFID-based localization for mobile robot3 citations · 2013
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