Papers
14
Total Citations
928
H-Index
10
About
Yung-Hsiang Lu is a leading researcher in the field of mobile robotics, with a primary focus on energy-efficient motion planning and deployment strategies. His work addresses the critical challenge of enabling autonomous robots—used in applications from carpet cleaning to search and rescue—to operate effectively under severe energy and timing constraints. Lu’s most influential contributions include pioneering methods for energy-efficient motion planning (223 citations) and comprehensive studies on robot energy consumption and conservation techniques (199 citations). His seminal 2006 paper on deploying mobile robots with energy and timing constraints has garnered 246 citations, establishing foundational principles for determining optimal robot placement and task allocation. Beyond motion planning, Lu has advanced multi-robot coordination through protocols for group communication and ad hoc networking, enabling teams of robots to collaborate in infrastructure-less environments. His research on sensor replacement using mobile robots (90 citations) and bio-inspired dispatching algorithms further demonstrates his impact. With over 900 total citations across his top works, Lu’s research continues to shape the development of practical, energy-aware robotic systems that can operate autonomously in real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1Deployment of mobile robots with energy and timing constraints246 citations · 2006
- 2Energy-efficient motion planning for mobile robots223 citations · 2004
- 3A case study of mobile robot's energy consumption and conservation techniques199 citations · 2006
- 4Sensor replacement using mobile robots90 citations · 2007
- 5Deployment Strategy for Mobile Robots with Energy and Timing Constraints39 citations · 2006
- 6Mobility-aware ad hoc routing protocols for networking mobile robot teams29 citations · 2007
- 7An Efficient Group Communication Protocol for Mobile Robots25 citations · 2006
- 8
- 9Energy-Effcient Scheduling for Autonomous Mobile Robots20 citations · 2006
- 10