Qilu University of Technology

🇨🇳 CN

Papers

173

Total Citations

2,024

H-Index

23

Researchers

294

About

Qilu University of Technology (Shandong Academy of Sciences) has established itself as a vibrant, multidisciplinary research institution with particularly strong contributions spanning intelligent robotics, advanced materials, and AI-driven control systems. The institution's research portfolio reflects a deliberate fusion of fundamental science and applied engineering, making it an increasingly prominent player in both Chinese and global research landscapes. In robotics and control engineering, Qilu researchers have made notable strides in manipulator control, publishing widely cited work on extreme learning machine (ELM)-based adaptive fixed-time control and consensus control for networked robotic manipulators operating under switching topologies and parameter uncertainties. Their contributions extend to multi-robot coordination, wheeled mobile robots, and wheel-legged platforms, with studies on human motion prediction and human-robot collaboration positioning the institution at the forefront of safe, intuitive robot-human interaction. Work on apple-harvesting robots and lightweight YOLO-based detection models demonstrates impressive engagement with agricultural robotics and precision sensing. Parallel to this, Qilu has cultivated a compelling materials research identity, particularly in functional hydrogels and soft actuators for wearable sensing. Their publications on stretchable, self-healing, conductive hydrogels and MXene-based human-like sensors have collectively attracted hundreds of citations, signaling significant community impact in flexible electronics. Complementary strengths in natural language processing—including emotion recognition in conversation—and image retrieval round out a genuinely broad intellectual identity. With papers accumulating citations in the dozens to hundreds within just a few years of publication, Qilu University of Technology represents an exciting opportunity for prospective students and collaborators seeking a dynamic environment where materials innovation, intelligent control, and AI converge.

Research Focus

Key Achievements

23
H-Index
173
Papers
2,024
Total Citations
294
Faculty & Researchers
🏆 Most Cited Paper
Highly stretchable, self-healing, antibacterial, conductive, and amylopectin-enhanced hydrogels with gallium droplets loading as strain sensors
83 citations · 2024
📊 Avg Citations/Paper: 12
📈 Most Prolific Year: 2024 (33)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Control theory (sociology), Mathematics

Top Papers

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Faculty & Researchers

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