Yaliang Liu
Papers
10
Total Citations
92
H-Index
5
About
Yaliang Liu is a robotics researcher specializing in the control and motion planning of humanoid and legged robots, with a particular focus on achieving highly dynamic movements such as jumping and gait transitions. Their major contributions include developing an online optimization method for vertical jumping that integrates centroidal angular momentum (CAM) control with landing impact absorption, enabling humanoid robots to perform agile, explosive maneuvers. Liu has also advanced hydraulic drive unit (HDU) control for legged robots, proposing force compensation and fuzzy terminal sliding mode control strategies to improve energy efficiency and precision. Their work on dynamic gait transition from crawling to bipedal walking, using kinematic primitives, addresses a fundamental challenge in locomotion. With over 90 citations across their top papers, Liu’s research has direct implications for enhancing robot adaptability in complex environments. Notably, their 2023 paper on vertical jumping has garnered 36 citations, reflecting its impact on the field. Liu’s recent work also extends to surgical robotics, specifically procedure recognition in vitreoretinal surgery, demonstrating a versatile application of their expertise in motion analysis and control.
Research Focus
Key Achievements
Top Papers
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- 7Design and Application of MVIC for Hydraulic Drive Unit of Legged Robot3 citations · 2018
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