Zhi‐Hong Guan
Papers
12
Total Citations
523
H-Index
7
About
Dr. Zhi-Hong Guan is a leading researcher in robotics and control systems, with a primary focus on underactuated mechanical systems, cooperative robotics, and multi-agent coordination. His seminal work on sliding-mode velocity control for mobile-wheeled inverted-pendulum systems (241 citations) established foundational methods for robust tracking in autonomous robotics. Dr. Guan has made significant contributions to distributed control, including a controller–estimator framework for target tracking in networked robotic systems (107 citations) and adaptive control for cooperative manipulators with Markovian switched couplings (71 citations). His research extends to formation control, multi-flocking of nonholonomic mobile robots, and path planning using genetic algorithms and deep reinforcement learning. Notably, his work on consensus-based formation control and trajectory tracing (39 citations) has advanced multi-robot coordination, while his studies on diffusive threat defense and 3D scene reconstruction demonstrate practical applications in security and navigation. With over 600 total citations across his most-cited papers, Dr. Guan’s contributions have profoundly impacted autonomous systems, intelligent vehicles, and networked robotics, making him a pivotal figure in modern control theory and robotic engineering.
Research Focus
Key Achievements
Top Papers
- 1Sliding-Mode Velocity Control of Mobile-Wheeled Inverted-Pendulum Systems241 citations · 2010
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- 6Improved potential field method path planning based on genetic algorithm12 citations · 2020
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- 8Coordination of nonholonomic mobile robots for diffusive threat defense7 citations · 2019
- 9Research on path planning of robot based on deep reinforcement learning6 citations · 2020
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