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
Top Papers
- 1
- 2ELM-Based Adaptive Faster Fixed-Time Control of Robotic Manipulator Systems82 citations · 2021
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- 5Applications of MXenes in human-like sensors and actuators56 citations · 2022
- 6Detected text‐based image retrieval approach for textual images52 citations · 2018
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Faculty & Researchers
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