Papers
47
Total Citations
797
H-Index
15
About
Chengju Liu is a prominent robotics researcher whose work sits at the intersection of biologically inspired control systems and autonomous locomotion. Best known for pioneering the application of Central Pattern Generator (CPG) frameworks to legged robotics, Liu has made foundational contributions to how quadruped and biped robots achieve adaptive, robust movement. His landmark 2011 paper, "CPG-Inspired Workspace Trajectory Generation and Adaptive Locomotion Control for Quadruped Robots," has accumulated 149 citations and remains a cornerstone reference in the field, while his 2009 survey on biologically inspired locomotion control (82 citations) helped map the landscape for an entire generation of researchers. Liu's work consistently draws on neuroscience — particularly the role of neural oscillators and CPG networks — to engineer elegant solutions for dynamic walking, balance, and gait adaptation in humanoid and quadruped platforms. More recently, he has expanded into crowd-aware robot navigation using deep reinforcement learning, demonstrating impressive versatility. With over a dozen influential publications spanning fifteen years and hundreds of cumulative citations, Liu's career reflects a sustained commitment to bridging biological intelligence and robotic autonomy, making his research essential reading for anyone working in legged locomotion or autonomous mobile systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Survey of locomotion control of legged robots inspired by biological concept82 citations · 2009
- 3
- 4CPG driven locomotion control of quadruped robot35 citations · 2009
- 5Multi-Layered CPG for Adaptive Walking of Quadruped Robots33 citations · 2018
- 6
- 7
- 8
- 9
- 10