Li Michael Liu
Papers
1
Total Citations
3
H-Index
1
About
Li Michael Liu is a robotics researcher whose work centers on bipedal locomotion and adaptive control systems for humanoid robots. His most notable contribution is the development of an adaptive asymptotic stable controller for under-actuated biped locomotion, detailed in his 2014 paper. This work integrates rigid body dynamics for gait planning with sliding mode feedback controllers to achieve both gait stabilization and active joint control. By combining inverse dynamics-based feedforward with robust feedback mechanisms, Liu's approach addresses fundamental challenges in maintaining stability during dynamic walking—a critical problem in humanoid robotics. While his highly specialized paper has garnered 3 citations, its technical depth reflects a focused contribution to the field of legged locomotion. Liu's research sits at the intersection of control theory, mechanical dynamics, and robotics, offering practical frameworks for engineers developing bipedal robots capable of navigating unstructured environments. His work provides foundational insights for students and researchers exploring adaptive control strategies in under-actuated systems.
Research Focus
Key Achievements
Top Papers
- 1Adaptive asymptotic stable biped locomotion3 citations · 2014