Yung-Hsing Lu
Papers
1
Total Citations
13
H-Index
1
About
Yung-Hsing Lu is a researcher whose work lies at the intersection of robotics, power management, and optimization. His most cited paper, "Optimal solutions to a class of power management problems in mobile robots" (2009), has garnered 13 citations, reflecting its foundational contribution to energy-efficient autonomous systems. In this work, Lu developed mathematical frameworks to solve critical power allocation challenges, enabling mobile robots to extend operational lifetimes and improve task reliability. His research addresses a key bottleneck in robotics—balancing energy constraints with performance demands—by proposing optimal strategies that minimize power consumption without sacrificing mobility or functionality. This contribution is particularly valuable for applications in search-and-rescue, environmental monitoring, and industrial automation, where sustained autonomy is essential. Lu’s work demonstrates a rigorous approach to bridging theoretical optimization with practical robotic systems, offering insights that continue to influence subsequent studies in energy-aware robotics. His focus on power management underscores a broader commitment to sustainable and efficient autonomous technologies, making his research a touchstone for engineers and scientists developing next-generation mobile robots.
Research Focus
Key Achievements
Top Papers
- 1Optimal solutions to a class of power management problems in mobile robots13 citations · 2009