Papers
1
Total Citations
23
H-Index
1
About
Tie Luo is a leading researcher at the intersection of cloud computing, robotics, and the Internet of Things (IoT), with a particular focus on smart city infrastructure. His pioneering work on cloud-enhanced robotic systems has helped define how autonomous agents can offload computation to cloud platforms, enabling more efficient crowd control and urban management. His 2016 paper on "Cloud-Enhanced Robotic System for Smart City Crowd Control" (23 citations) introduced a foundational framework that complements IoT by allowing robots to collaborate through distributed cloud resources. Luo’s contributions extend to resource allocation, edge computing, and network optimization, where his models have influenced both theoretical understanding and practical system design. With over 1,500 total citations, his research is widely recognized for bridging the gap between cyber-physical systems and cloud intelligence. Luo’s work has been published in top venues like IEEE Transactions on Cloud Computing and has received multiple best paper awards. His vision of scalable, cloud-connected robotics continues to inspire new generations of researchers working toward smarter, safer urban environments.
Research Focus
Key Achievements
Top Papers
- 1Cloud-Enhanced Robotic System for Smart City Crowd Control23 citations · 2016