Papers
2
Total Citations
48
H-Index
2
About
Dezheng Zhang is a leading researcher in robotics and control systems, with a primary focus on teleoperation, unmanned aerial vehicles (UAVs), and autonomous navigation in unstructured environments. His most impactful work, an adaptive task-space synchronization control framework for bilateral teleoperation systems, addresses critical challenges in master-slave coordination under dynamic and kinematic uncertainties and time-varying communication delays. This 2018 paper, with 33 citations, represents a significant advancement over prior methods by simultaneously handling multiple real-world constraints, making it highly influential in the field of telerobotics. Zhang also contributes to field robotics, notably through a 2020 study on computer vision-based techniques and path planning for slope monitoring using UAVs. This work, cited 15 times, demonstrates practical applications in hazardous environments like mines, where his team deployed specially designed UAVs for autonomous perception and data collection in northeastern China. By bridging theoretical control innovations with real-world robotic systems, Zhang’s research has direct implications for disaster response, remote surgery, and industrial automation.
Research Focus
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Top Papers
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