Na Yi

University of Surrey

Papers

1

Total Citations

1

H-Index

1

About

Dr. Na Yi is a leading researcher in symbiotic robotic swarms and energy-efficient task allocation, with a focus on minimizing computational energy consumption in collaborative multi-robot systems. Her most-cited work, "Energy Consumption Minimized Task Allocation with Correlated Data for Symbiotic Robotic Swarm" (2023), introduces novel task allocation schemes that account for correlated data across robots, enabling cooperative computation while reducing transmission overhead. By optimizing data flow and task distribution, her research addresses critical challenges in swarm intelligence, where robots must share and process interdependent data to achieve collective goals. Though early in its citation impact, this work lays foundational principles for scalable, energy-aware swarm coordination. Dr. Yi’s contributions are particularly relevant to autonomous systems operating in resource-constrained environments, such as disaster response or environmental monitoring. Her approach bridges theoretical optimization with practical swarm robotics, offering a pathway to more sustainable and efficient multi-robot collaboration. As the field of symbiotic robotics grows, Dr. Yi’s research continues to influence the design of intelligent, energy-conscious systems that leverage data correlation for enhanced performance.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Energy Consumption Minimized Task Allocation with Correlated Data for Symbiotic Robotic Swarm
1 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Surrey

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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