Papers

12

Total Citations

983

H-Index

10

About

Y. Charlie Hu is a prominent researcher specializing in mobile robotics, with a particular focus on energy efficiency, motion planning, and autonomous deployment strategies. His work has fundamentally advanced how mobile robots are designed to operate under real-world constraints, most notably limited energy and timing requirements. Hu's most influential contributions center on energy-aware robotics. His 2004 paper on energy-efficient motion planning (223 citations) introduced a novel framework modeling motor power consumption to optimize both routes and velocities for mobile robots. Building on this, his 2006 study on energy consumption and conservation techniques (199 citations) broadened the lens beyond motion planning to encompass the full operational profile of mobile robots. His work on robot deployment — determining how many robots to deploy and where — addressed a critically underexplored problem, earning over 246 citations for his 2006 deployment paper alone. Beyond energy efficiency, Hu explored sensor network maintenance through mobile robots, fleet sizing, autonomous exploration, and communication protocols for multi-robot teams. His research spans applications from search-and-rescue missions to carpet cleaning and landmine detection. Collectively, his body of work, accumulating nearly 1,000 citations, has provided foundational frameworks that continue to shape practical autonomous robotic systems today.

Research Focus

Key Achievements

10
H-Index
12
Papers
983
Total Citations
82
Avg Citations/Paper
🏆 Most Cited Paper
Deployment of mobile robots with energy and timing constraints
246 citations · 2006
📈 Most Prolific Year: 2006 (6 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Purdue University West Lafayette, University of Indianapolis

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago