Yuan Guo

Qiqihar University, Changsha University of Science and Technology

Papers

Total Citations

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About

Yuan Guo is a researcher whose work sits at the intersection of robotics, control systems, and energy storage safety. Their key contributions lie in developing advanced control strategies for multi-robot systems and pioneering safety evaluation methods for large-scale battery storage. Guo’s most cited paper, "Observer-based multivariable fixed-time formation control of mobile robots" (2020, 16 citations), introduces a novel multivariable fixed-time leader-follower formation control method for nonholonomic mobile robots, enabling robust uncertainty estimation and precise coordination. This work has significant implications for autonomous swarm robotics and industrial automation. More recently, Guo’s 2024 paper "Technologies for Energy Storage Power Stations Safety Operation: Battery State Evaluation Survey and a Critical Analysis" (15 citations) addresses critical challenges in lithium-ion battery health evaluation, cell variation, and resonance suppression—a timely contribution as large-scale energy storage facilities expand globally. Earlier work on path planning for warehousing inspection robots in IoT environments (2011) demonstrates sustained interest in intelligent automation. With a growing citation footprint, Guo’s research bridges theoretical control advances with pressing real-world energy infrastructure needs, making their work valuable for students and researchers in robotics, control engineering, and sustainable energy systems.