Yan-Ting Ye
Papers
1
Total Citations
11
H-Index
1
About
Yan-Ting Ye is a robotics researcher whose work centers on bipedal locomotion and humanoid gait generation. His most-cited paper, "Parameterized gait pattern generator based on linear inverted pendulum model with natural ZMP references" (2016, 11 citations), introduces a novel approach to creating natural, customizable walking patterns for humanoid robots. By proposing five distinct zero moment point (ZMP) components, Ye developed a parameterized gait generator that allows users to adjust step sizes while maintaining stability and natural motion—a significant contribution to legged robotics. This work bridges theoretical models with practical implementation, enabling more intuitive control of bipedal robots. While his citation count reflects a focused, emerging impact, Ye's research addresses fundamental challenges in dynamic walking, offering tools that advance both robotic locomotion and human-robot interaction. His contributions are particularly valuable for researchers developing adaptive, energy-efficient walking algorithms, and his parameterized framework continues to inform gait design in humanoid robotics.
Research Focus
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Top Papers
- 1