Papers

6

Total Citations

118

H-Index

4

About

Changhua Wu is a leading researcher in mobile robotic sensor networks, with a focus on autonomous deployment, localization, and coordination. Her major contributions lie in developing robot-assisted strategies to overcome fundamental challenges in sparse and non-rigid sensor networks. Notably, her 2007 work on "Robot-Assisted Sensor Network Deployment and Data Collection" (44 citations) pioneered methods for using mobile robots to improve network connectivity and data harvesting in environments like surveillance and space exploration. She also advanced self-localization for mobile sensors with her 2007 paper on mobility-assisted MDS-MAP(P) (32 citations), which solved localization failures in sparse networks using multi-dimensional scaling. Her 2010 study on rigidity-guided localization (18 citations) introduced a novel approach that integrates robot odometry with ranging data to ensure network localizability. Additionally, her 2008 work on distributed multi-robot workload partition (17 citations) provided systematic strategies for deploying robots in manufacturing automation. Wu’s research has been instrumental in bridging robotics and wireless sensor networks, enabling more reliable and autonomous systems for real-world applications.

Research Focus

Key Achievements

4
H-Index
6
Papers
118
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Robot-Assisted Sensor Network Deployment and Data Collection
44 citations · 2007
📈 Most Prolific Year: 2008 (3 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Kettering University, University of Michigan–Flint

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago