Ziheng Li
Papers
2
Total Citations
5
H-Index
2
About
Ziheng Li is a researcher whose work bridges intelligent robotics and cloud infrastructure security, with a focus on practical automation solutions. His key research areas include compliant robotic control, foreign object detection, and smart industrial systems. Li’s major contributions lie in developing advanced sensing and control methods for collaborative robots, particularly in handling delicate tasks such as smart meter box transportation. His 2023 paper on compliant control of a meter box handling robot addresses collision detection in cooperative robotic systems, proposing an architecture and mechanical design that enhances safety and efficiency in industrial workflows. More recently, Li’s 2025 work on foreign object detection in cloud server centers introduces a separable self-attention mechanism, a novel approach that improves inspection accuracy and reliability in critical data infrastructure. This research has already garnered early citations, reflecting its relevance to emerging challenges in cloud computing maintenance. Li’s work is notable for its direct application to real-world problems—from preventing damage in logistics to safeguarding server integrity—demonstrating a commitment to translating theoretical advances into tangible industrial impact. His research continues to influence the development of smarter, safer automation systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2