Arshad Mahmood

Gyeongsang National University

Papers

3

Total Citations

107

H-Index

3

About

Arshad Mahmood is a control systems researcher whose work has made significant contributions to the field of multi-agent robotics, with a particular focus on autonomous aerial vehicle coordination and formation control. His research centers on developing practical, elegant control strategies for quadcopter swarms — a domain of growing importance in robotics, surveillance, and collaborative autonomous systems. Mahmood's most influential work, "Leader-following formation control of quadcopters with heading synchronization" (2015), has garnered 93 citations, reflecting its substantial impact on the robotics and control systems communities. A recurring theme across his publications is his ability to simplify complex nonlinear control problems: rather than relying on intricate nonlinear control laws, his approaches leverage techniques such as feedback linearization to produce near-linear control strategies that remain both computationally accessible and practically implementable. His decentralized formation control work is particularly noteworthy, demonstrating that effective multi-quadcopter coordination can be achieved without centralized computation — a critical advantage for real-world deployment. Through his contributions to leader-following formation strategies and heading synchronization, Mahmood has helped lay important groundwork for scalable, cooperative unmanned aerial vehicle systems, making his research valuable reading for students and engineers working at the intersection of control theory and aerial robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
107
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Leader-following formation control of quadcopters with heading synchronization
93 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Gyeongsang National University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago