Xingshuo Hai
Papers
2
Total Citations
82
H-Index
2
About
Xingshuo Hai is a leading researcher in autonomous mobile robotics, specializing in intelligent control systems and real-time decision-making for complex environments. His work bridges advanced optimization algorithms with practical robotic applications, notably through the development of an enhanced active disturbance rejection control (ADRC) method for mobile robots. By integrating evolutionary game theory with pigeon-inspired optimization (EGPIO), Hai created an automatic parameter tuning mechanism that significantly improves attitude deformation control—a breakthrough cited over 70 times in the field. More recently, Hai has pioneered resilient path-planning frameworks for autonomous mobile robots (AMRs) operating in dynamic campus settings. His hierarchical dual-layer decision-making architecture, which combines multiobjective global planning with local reactive control, addresses the critical challenge of safe navigation amidst unpredictable obstacles. This work, published in 2025, has already garnered 11 citations, reflecting its timely relevance. Hai’s contributions are distinguished by their practical impact: his algorithms enable robots to maintain performance under real-world uncertainties, from sensor noise to environmental changes. His research not only advances theoretical understanding of bio-inspired optimization and adaptive control but also provides deployable solutions for next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2