Jin-ming Zhong
Papers
2
Total Citations
9
H-Index
2
About
Jin-ming Zhong is a researcher advancing the frontiers of robotic teleoperation through intelligent control systems. His primary research areas center on bilateral teleoperation, adaptive neural networks, and event-triggered control mechanisms, addressing critical challenges in human-robot interaction. Zhong’s major contributions include developing innovative control strategies that enable precise synchronous tracking in teleoperation robots despite modeling uncertainties and communication delays—fundamental obstacles in remote manipulation. His most cited work (2024, 7 citations) introduces an adaptive neural network synchronous tracking control strategy integrated with event-triggered mechanisms, significantly reducing unnecessary communication while maintaining performance. This builds on his foundational study (2023, 2 citations) investigating bilateral teleoperation systems affected by both dynamics and kinematics uncertainties, where he structured adaptive neural network modules to approximate uncertain dynamics. Zhong’s work is particularly notable for its practical implications in scenarios requiring reliable remote operation under real-world constraints like time delays and unknown disturbances. His research represents a meaningful step toward more robust, efficient teleoperation systems, with potential applications in hazardous environments, telesurgery, and remote exploration.
Research Focus
Key Achievements
Top Papers
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