Lingyun Hu
Papers
8
Total Citations
78
H-Index
5
About
Lingyun Hu is a robotics researcher whose work centers on humanoid robot locomotion, gait optimization, and autonomous control architectures. Based at Singapore Polytechnic's Advanced Robotics and Intelligent Control Centre, Hu has made significant contributions to the field of biped robot motion planning, accumulating over 75 citations across his published work. Hu's most influential contribution is his development of novel Estimation of Distribution Algorithms (EDAs) for biped gait optimization, including a spline kernel function-based approach (EDA_S) that formulates locomotion as a multi-constraint optimization problem — work that has garnered 30 citations and remains a key reference in evolutionary robotics. He further extended this framework by integrating Q-learning methods to dynamically generate stable, energy-efficient gaits. A central thread throughout Hu's research is the Robo-Erectus humanoid robot platform, for which he designed both modular distributed control architectures and 3D walking trajectory generation methods. His team's participation in the RoboCup Humanoid League provided a rigorous real-world testbed for these ideas. Later work exploring neural oscillators as central pattern generators and the extraction of human-like soccer motion primitives from human data reflects Hu's broader ambition to bridge biological movement principles with practical humanoid robotics implementation.
Research Focus
Key Achievements
Top Papers
- 1Biped gait optimization using spline function based probability model30 citations · 2006
- 2
- 3Generating human-like soccer primitives from human data11 citations · 2009
- 4
- 5
- 6
- 7
- 8Neural Oscillator for Rhythmic Motion Control of Biped Robot2 citations · 2008