Yansu Hu
Papers
1
Total Citations
2
H-Index
1
About
Yansu Hu is a researcher specializing in cloud robotics, wireless communications, and resource optimization, with a particular focus on hierarchical network architectures and quality-of-service (QoS) management. Their most-cited work, "The Lyapunov Optimization for Two-Tier Hierarchical-Based MAC in Cloud Robotics" (2020), introduces a novel medium access control framework that leverages Lyapunov optimization to dynamically balance task offloading, energy efficiency, and transmission scheduling in heterogeneous robotic systems. This contribution addresses the critical challenge of coordinating robots with varying hardware capabilities—such as battery life and processing power—while ensuring diverse QoS requirements are met in cloud-integrated environments. Although early in their citation impact, Hu’s research lays foundational groundwork for scalable, intelligent robotic networks, offering practical solutions for real-time decision-making under uncertainty. Their work is particularly relevant for advancing autonomous systems in Industry 4.0 and smart infrastructure, where reliable cloud-robot interaction is paramount. Hu’s focus on hierarchical optimization and adaptive MAC protocols positions them as an emerging voice in the intersection of robotics and communication theory.
Research Focus
Key Achievements
Top Papers
- 1