Yu Li

Yu Li is a Researcher affiliated with the Physics Institute at the University of Stuttgart. Their work focuses on advancing robotics and cyber-physical systems, with a particular emphasis on anomaly detection, risk assessment, and fault tolerance in autonomous systems. They specialize in applying machine learning techniques like MLSTM-FCN and transformers to enhance system reliability.

Research interests include

• Robotic manipulation under uncertainty
• ROS-based fault injection frameworks
• Hybrid probabilistic risk modeling
• Real-time anomaly detection in industrial systems

Recent work emphasizes automated risk assessment for software-defined robotic systems, leveraging SysML V2 models and continuous monitoring. Their publications span robotics, AI, and safety-critical system design, reflecting interdisciplinary collaboration across engineering and computer science domains.