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About

Dr. Xinxin Guo is a pioneering researcher in robotics and intelligent control systems, with a primary focus on bio-inspired robotics, autonomous navigation, and adaptive control. Her work spans multiple domains, from marine robotics to humanoid and aerial manipulator systems. Notably, she developed an online reinforcement learning algorithm for pursuit-evasion games between Unmanned Surface Vehicles (USVs), introducing a novel approach where both pursuer and evader possess learning capabilities—a significant advancement over traditional fixed-strategy methods. In humanoid robotics, she proposed a biomimetic upper limb mechanism based on viscoelasticity to enhance shock resistance during falls, addressing a critical safety challenge. Dr. Guo also contributed to self-triggered adaptive neural network control for nonlinear systems with input constraints, advancing the field of intelligent control. Her work on central pattern generator (CPG)-fuzzy heading control for hexapod robots with arc-shaped blade legs demonstrates her expertise in biologically inspired locomotion. With over 26 citations across her most-cited papers, Dr. Guo’s research has practical implications for autonomous systems operating in complex, dynamic environments. Her innovative integration of reinforcement learning, neural networks, and biomimetic design continues to influence the next generation of intelligent robotic systems.