Papers
18
Total Citations
207
H-Index
8
About
Hsiu-Ming Wu is a robotics and control systems researcher whose work centers on mobile robot navigation, trajectory tracking, and intelligent control design. Over more than a decade of sustained contributions, Wu has developed sophisticated control frameworks—including hierarchical sliding-mode control, fuzzy sliding-mode methods, and backstepping formation strategies—to address the persistent challenges of friction, uncertainty, and actuator saturation in real-world robotic systems. His 2013 paper on hierarchical sliding-mode under-actuated control for differential mobile robots, which integrated kinematic, dynamic, and motor models into a unified framework, remains his most-cited work with 47 citations, establishing a foundational methodology that subsequent research built upon. Wu has extended these techniques across diverse robotic platforms, from differential-drive and omnidirectional mobile robots to biped walkers and omnidirectional conveyor systems, reflecting both depth and breadth in his expertise. His more recent work incorporates LiDAR sensing, AMCL localization, and genetic algorithm-based fuzzy modeling, demonstrating a forward-looking integration of perception and intelligent control. With over 180 cumulative citations, Wu's research has meaningfully advanced robust autonomous navigation, offering practical solutions that bridge theoretical control design with real hardware implementation.
Research Focus
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Top Papers
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- 8Intelligent Motion Control Design for an Omnidirectional Conveyor System8 citations · 2023
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