Huijuan Tang

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About

Huijuan Tang is a robotics researcher whose work focuses on the locomotion and navigation of mobile robots, particularly in complex and constrained environments. Her most significant contribution lies in the development of a novel controller algorithm for quadruped robots, integrating Central Pattern Generators (CPG) with the Zero Moment Point (ZMP) stability criterion. This CPG-ZMP approach, detailed in her 2016 paper, enables smoother gait planning and enhanced stability control, addressing fundamental challenges in legged robot locomotion. With 43 citations, this work has become a notable reference in the field of bio-inspired robotics. Tang has also advanced practical applications for agricultural automation, as demonstrated by her 2015 study on corridor edge detection and navigation for greenhouse mobile robots using laser scanners. Her research bridges theoretical control methods with real-world deployment, offering solutions for both agile legged platforms and autonomous wheeled systems in structured environments.