Yancai Hu
Papers
2
Total Citations
12
H-Index
2
About
Dr. Yancai Hu is a leading researcher in intelligent control systems for autonomous robotics, with a focus on fault-tolerant and resilient operations in challenging environments. His work primarily addresses the intersection of nonlinear dynamics, sliding mode control, and neural network-based compensation for robotic systems operating under abnormal conditions. Dr. Hu’s most cited paper, “Fault-tolerant trajectory tracking control of underwater salvage robots based on super-twisting sliding mode” (2024, 8 citations), introduces a robust control framework that ensures precise trajectory tracking despite actuator failures and external disturbances, a critical advancement for deep-sea salvage operations. His 2023 study on port artificial intelligence transportation robots (4 citations) pioneers a novel control algorithm that simultaneously handles actuator physical faults, cyber-attacks, and sudden trajectory curvature changes—a triple-threat scenario in automated freight yards. By integrating neural network nonlinear fitting with event-triggered sliding mode control, Dr. Hu’s work enhances the safety and reliability of autonomous systems in high-stakes industrial settings. His contributions are particularly notable for bridging theoretical control theory with practical deployment, offering scalable solutions for underwater, port, and other AI-driven transportation robots. With growing citation impact, Dr. Hu is establishing himself as a key innovator in resilient robotic control.
Research Focus
Key Achievements
Top Papers
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- 2