Yunchuan Li

University of Electronic Science and Technology of China

Papers

Total Citations

155

H-Index

About

Yunchuan Li is a leading researcher in humanoid robotics, with a primary focus on model identification, adaptive control, and dynamic system modeling for complex robotic platforms. His most influential work, "Model Identification and Control Design for a Humanoid Robot" (2016), has garnered over 155 citations, establishing a foundational framework for accurately modeling the 6 degree-of-freedom upper limb using the Devanit-Hartenberg convention and recursive Newton-Euler (RNE) formulations. Li’s major contribution lies in bridging theoretical control algorithms with practical implementation, enabling more precise and stable motion in humanoid robots. By addressing the challenges of parameter estimation and real-time adaptive control, his research has significantly advanced the field of bipedal and upper-limb robotic manipulation. His work is widely referenced by engineers developing autonomous humanoid systems, and he is recognized for integrating rigorous mathematical modeling with experimental validation. Li continues to push the boundaries of robotic intelligence, making his research essential reading for students and scholars interested in the intersection of control theory, mechanical design, and autonomous systems.