Vu Phi Tran

UNSW Sydney, University of Canberra

Papers

11

Total Citations

275

H-Index

8

About

Vu Phi Tran is a robotics and control systems researcher whose work spans multi-robot coordination, swarm intelligence, and autonomous environmental sensing. His research has made significant contributions to formation control theory, particularly through the application of negative imaginary systems theory to multi-agent and heterogeneous UAV-UGV systems — a body of work that has collectively garnered over 150 citations. His 2019 paper on switching time-invariant formation control (64 citations) established foundational methods for robust cooperative robot navigation in uncertain environments, while subsequent work extended these frameworks to aerial robotics under real-world disturbances such as wind gusts using fuzzy self-tuning controllers. Tran has also pioneered frontier-led swarming algorithms for multi-robot coverage in dynamic, unknown environments, addressing a critical gap in coverage path planning research where static-environment assumptions often fail in practice. More recently, his focus has expanded to multi-modal gas source localization and mapping, deploying swarms of nano-drones equipped with adaptive optimization and bio-inspired learning strategies in cluttered, dynamic settings. His research consistently bridges theoretical control frameworks with practical autonomous systems, making his work highly relevant to emerging applications in environmental monitoring, search and rescue, and industrial inspection.

Research Focus

Key Achievements

8
H-Index
11
Papers
275
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Switching time-invariant formation control of a collaborative multi-agent system using negative imaginary systems theory
64 citations · 2019
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: UNSW Sydney, University of Canberra

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago