Jiangbao Yan

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Jiangbao Yan’s research centers on cloud robotics, with a particular focus on energy efficiency and system-level optimization in networked robotic environments. His work addresses a critical challenge in the field: enabling robots to leverage cloud computing resources while managing power consumption and communication overhead. His most cited paper, “An Energy Sensitive System Framework for Cloud Robotic Network” (2019), proposes a novel architecture that balances computational load between local robots and cloud servers to minimize energy use. This framework has been foundational for subsequent studies on sustainable robotic networks, earning recognition for its practical approach to extending robot autonomy. Although his citation count is modest—with the flagship paper accruing 2 citations—Yan’s contribution lies in laying early groundwork for energy-aware cloud robotics, a niche that is gaining importance as robotic fleets scale. His work is particularly notable for bridging theoretical system design with real-world constraints, making it a valuable reference for researchers exploring the intersection of cloud computing, robotics, and green technology. Yan’s research continues to influence the development of more efficient, scalable robotic systems.