Papers
15
Total Citations
250
H-Index
7
About
Weicun Zhang is a robotics and intelligent systems researcher whose work spans fault-tolerant control, autonomous navigation, and adaptive control for robotic platforms. His most influential contribution, "Disturbance Observer-Based Fault-Tolerant Control for Robotic Systems With Guaranteed Prescribed Performance" (2020, 128 citations), addresses a critical challenge in robotics: maintaining reliable operation when actuators experience partial or total failure. By incorporating disturbance observers and prescribed performance guarantees, this work has become a significant reference in robust control design for uncertain robotic systems. Beyond fault tolerance, Zhang has made meaningful contributions to autonomous navigation, developing fuzzy logic-based path planning algorithms for mobile robots in both static and dynamic environments, as well as flow field-based obstacle avoidance for biomimetic robotic fish. His research on distributed adaptive flocking and UAV-based slope monitoring systems in mining environments further demonstrates his broad interest in field robotics and multi-agent coordination. Zhang has also contributed to simultaneous localization and mapping (SLAM) and neural network adaptive control for robotic manipulators with rapidly changing parameters. As editor of the Chinese Intelligent Systems Conference proceedings, he has helped shape the broader research community in intelligent systems across China and beyond.
Research Focus
Key Achievements
Top Papers
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- 6Proceedings of 2020 Chinese Intelligent Systems Conference14 citations · 2020
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- 8An Overview of SLAM7 citations · 2018
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- 10Proceedings of 2019 Chinese Intelligent Systems Conference5 citations · 2019