Yigao Ning
Papers
2
Total Citations
19
H-Index
2
About
Yigao Ning is a researcher specializing in the control and navigation of underactuated wheeled inverted pendulum (WIP) vehicles, with a focus on autonomous motion planning and human-robot interaction. His major contributions include developing an optimal trajectory planning method for WIP vehicles navigating unknown environments, addressing the long-standing challenge of achieving optimal motion under complex, unstructured conditions. This work, published in 2022, has garnered 12 citations and demonstrates a novel integration of theoretical control strategies with experimental validation. Ning also advanced composite following control techniques for WIP vehicles based on human-robot interaction, a 2019 study with 7 citations that explores how robotic systems can safely and responsively follow human commands. His research bridges fundamental control theory and practical robotics, offering solutions for assistive mobility and autonomous transport. Ning’s work is notable for its experimental rigor and potential applications in service robotics, rehabilitation devices, and intelligent transportation. His contributions are shaping the next generation of agile, human-aware robotic platforms.
Research Focus
Key Achievements
Top Papers
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