Papers
13
Total Citations
172
H-Index
6
About
Yuzhu Sun is an emerging robotics and AI researcher whose work spans advanced robot control, human-robot collaboration, and autonomous navigation. His most celebrated contribution, "Adaptive Fuzzy Fault Tolerant Control for Robot Manipulators With Fixed-Time Convergence" (2023, 76 citations), exemplifies his expertise in developing robust, model-free control strategies that achieve rapid convergence and minimal tracking error — addressing longstanding challenges in fault-tolerant systems for robot manipulators. Complementing this, his series of papers on safety-critical physical human-robot collaboration (2023–2025) introduces innovative admittance control frameworks and adaptive safety-critical controllers with uncertainty estimation, collectively garnering over 30 citations and establishing him as a key voice in safe human-robot interaction design. His research on nonlinear model predictive control and control barrier functions further advances autonomous mobile robot navigation in dynamic, uncertain environments. More recently, Sun has expanded into multimodal AI agents, co-authoring a widely noticed 2025 survey already accumulating 20 citations. Across his portfolio, Sun consistently bridges theoretical rigor with practical robotic applications, making his work highly relevant to researchers and engineers pushing the boundaries of intelligent, safe autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Multimodal Agent AI: A Survey of Recent Advances and Future Directions20 citations · 2025
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