Xiuquan Liang

Huazhong University of Science and Technology

Papers

Total Citations

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About

Dr. Xiuquan Liang is a leading researcher in the field of robotics and adaptive control, with a primary focus on advanced impedance control strategies for human-robot interaction and autonomous manipulation. His most cited work, "Force tracking impedance control with unknown environment via an iterative learning algorithm" (2018, 17 citations), addresses a critical challenge in robotics: achieving precise force tracking when robots interact with uncertain or unknown environments. Dr. Liang’s major contribution lies in developing an adaptive force control scheme that integrates an iterative learning algorithm with real-time observation of unknown environment stiffness and location. This innovation enables robots to dynamically adjust their behavior, significantly improving force tracking accuracy even when environmental parameters are not predetermined. His work bridges the gap between theoretical control frameworks and practical robotic applications, offering robust solutions for tasks such as assembly, rehabilitation, and collaborative robotics. While his citation count reflects a focused, high-impact contribution, Dr. Liang’s research is recognized for its practical relevance and methodological rigor, making him a notable figure in the advancement of adaptive impedance control for next-generation robotic systems.