Liu Li Michael

Papers

Total Citations

H-Index

About

Liu Li Michael is a researcher in robotics and control systems, with a primary focus on bipedal locomotion and adaptive control strategies. His most notable contribution is the development of an adaptive asymptotic stable controller for under-actuated biped robots, as 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, while employing inverse dynamics-based feedforward techniques to enhance performance. Though his seminal paper has garnered 3 citations, it represents a foundational step in addressing the stability challenges of bipedal walking—a critical area for humanoid robotics and prosthetics. Michael’s research bridges theoretical control theory and practical robotic applications, offering insights into how adaptive mechanisms can enable more natural and robust locomotion in complex environments. His work is particularly relevant for students and researchers exploring nonlinear control, under-actuated systems, and bio-inspired robotics, highlighting the ongoing quest to replicate human-like movement in machines.