Dong Yuan

The University of Sydney, Chang'an University

Papers

Total Citations

H-Index

About

Dong Yuan is a leading researcher in cloud robotics and intelligent manufacturing, whose work bridges the gap between autonomous systems and smart city infrastructure. His most influential contribution, "A Cloud Robotics Framework of Optimal Task Offloading for Smart City Applications" (34 citations), establishes a foundational paradigm for enabling robotic agents to offload computationally intensive tasks to cloud platforms, dramatically enhancing the performance of Internet of Things (IoT)-driven urban environments. This work is pivotal for developing scalable, real-time autonomous systems in smart cities. Yuan also makes significant strides in production optimization through his research on robotic cell scheduling. His work on the multi-objective job shop scheduling problem in robotic cells (17 citations) addresses the complex interplay between job sequencing and robot-mediated transportation, proposing novel metaheuristic solutions that optimize both time and resource efficiency. Additionally, his investigation into time window constraints (2 citations) further refines scheduling under real-world operational limits. Collectively, Yuan’s research provides critical algorithms for next-generation manufacturing and urban automation, establishing him as a key figure in the convergence of robotics, cloud computing, and smart systems.