Deying Li
Papers
3
Total Citations
60
H-Index
3
About
Deying Li is a leading researcher in multi-robot systems and wireless sensor networks, with a focus on distributed localization and data collection. Her major contributions include developing distributed relative localization algorithms for multi-robot networks, which enable robots to determine their positions without centralized control or long-range communication—critical for scalability and resilience in dynamic environments. Her 2023 survey on this topic, with 31 citations, serves as a foundational reference for the field. Li also pioneered trajectory planning for multiple heterogeneous data ferries in wireless sensor networks, optimizing how robotic vehicles collect data from stationary nodes to minimize energy use and latency. Her 2014 paper on this subject, with 23 citations, addresses two novel trajectory optimization problems. Additionally, she has advanced joint optimization of data ferry paths and sensor communication powers for long-term environmental monitoring, reducing power consumption in remote deployments. Li’s work bridges theory and practice, offering scalable solutions for real-world robotic networks. Her research is highly cited for its practical impact on autonomous systems, making her a key figure in networked robotics and sensor networks.
Research Focus
Key Achievements
Top Papers
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