Hongze Xu
Papers
5
Total Citations
89
H-Index
4
About
Hongze Xu is a leading researcher in advanced robotics control, specializing in trajectory optimization, disturbance rejection, and model predictive control for complex robotic systems. His major contributions lie in developing novel hierarchical control frameworks that enhance the robustness and efficiency of robotic manipulators and mobile robots under uncertainty. Notably, his 2023 work on "Disturbance Rejection Event-Triggered Robust Model Predictive Control" introduces a pioneering combination of computed-torque-like control with disturbance-observer-based event-triggered mechanisms, achieving precise tracking for constrained manipulators despite bounded disturbances—a breakthrough with 30 citations. His highly cited 2022 study on time-optimal trajectory optimization using improved particle swarm optimization (26 citations) addresses kinematic and dynamic limits, enabling faster, safer motion planning. Xu has also advanced prescribed-time control for skid-steering mobile robots, ensuring prescribed performance under tight constraints (18 citations). With over 89 cumulative citations across his top works, Xu’s research is pivotal for real-world applications in manufacturing, autonomous navigation, and human-robot collaboration, offering practical solutions to long-standing challenges in robotic control under uncertainty.
Research Focus
Key Achievements
Top Papers
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