Ruijun Deng
Papers
2
Total Citations
5
H-Index
2
About
Ruijun Deng is a leading researcher at the intersection of embodied intelligence, edge-cloud computing, and the Industrial Internet of Things (IoT). His work focuses on enabling manufacturing systems to flexibly perceive, reason, and adapt within dynamic shop floor environments. Deng’s most notable contribution is the development of the LAECIPS framework—a large vision model-assisted adaptive edge-cloud collaboration system for IoT-based embodied intelligence. This pioneering architecture addresses a critical challenge in smart manufacturing: how to deploy computationally intensive AI for real-time robotic visual inspection without overwhelming local resources. By intelligently distributing tasks between edge devices and cloud servers, LAECIPS allows industrial robots to accurately inspect components on rapidly moving production lines. Deng’s work has garnered early attention, with his foundational papers accumulating over 5 citations since 2024. His research is particularly significant for students and engineers working on real-time AI deployment in resource-constrained industrial settings, offering a practical blueprint for integrating large vision models into the physical world. Deng’s contributions are shaping the next generation of adaptive, intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 2