Papers
4
Total Citations
78
H-Index
3
About
Qiyao Yang is a rising researcher in the field of advanced robotics and nonlinear control systems, with a focus on enhancing the safety, precision, and adaptability of robotic manipulators and teleoperation systems. Their work addresses critical challenges in human–robot interaction, including time-varying communication delays, actuator faults, and input deadzones. Yang’s most cited paper (2024, 53 citations) introduces a novel failure-distribution-dependent H∞ fuzzy fault-tolerant control for multilateral teleoperation systems, significantly improving stability under realistic fault conditions. Another key contribution is an adaptive non-singular fast terminal sliding mode controller for robot manipulators (2022, 20 citations), which achieves high-precision trajectory tracking essential for efficient human–robot collaboration. More recently, Yang proposed a prescribed performance neuro-adaptive control scheme for flexible-joint manipulators with unknown deadzone and actuator faults (2025), and designed a vision-based control system for a two-wheeled self-balancing handling robot. With a growing citation record and a clear focus on practical, fault-tolerant solutions, Yang is establishing a reputation for bridging theoretical control advances with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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