Papers

6

Total Citations

30

H-Index

4

About

Dr. Zhaobing Kang is a robotics researcher whose work centers on visual servoing, autonomous navigation, and sensor integration for mobile robots. His major contributions lie in developing adaptive trajectory tracking and active observation methods that enhance robotic perception and control. Notably, his 2019 paper on "Adaptive Trajectory Tracking of Wheeled Mobile Robots Based on a Fish-eye Camera" (13 citations) demonstrates how wide-angle imaging can improve robot motion accuracy in dynamic environments. Kang has pioneered a novel composite visual servoing configuration that combines eye-in-hand and eye-to-hand setups, allowing robots to actively adjust their viewpoint for better imaging quality—a concept detailed in his 2020 work (4 citations). He has also advanced robotic auditory perception using small microphone arrays (2022, 4 citations) and addressed field-of-view constraints for multi-feature point tracking (2021, 4 citations). His research on optimal observation positioning in eye-in-vehicle configurations (2019, 3 citations) further refines manipulator control. With a focus on practical, uncalibrated systems, Kang's work bridges theoretical control methods with real-world robotic applications, making him a key contributor to intelligent autonomous systems.

Research Focus

Key Achievements

4
H-Index
6
Papers
30
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Trajectory Tracking of Wheeled Mobile Robots Based on a Fish-eye Camera
13 citations · 2019
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Institute of Automation, Chinese Academy of Sciences, Shandong Institute of Automation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago