Papers

19

Total Citations

284

H-Index

9

About

Azwirman Gusrialdi is a robotics and control systems researcher whose work spans mobile sensor networks, autonomous robot navigation, and multi-robot coordination. He is best known for his pioneering contributions to coverage control, particularly his development of anisotropic sensor models that account for both distance and orientation in sensor performance — a significant advancement over conventional isotropic approaches. His 2008 paper on coverage control for mobile networks with limited-range anisotropic sensors has garnered 63 citations, establishing him as an influential voice in the field. Complementary work on coverage control in dynamic environments and Voronoi-based deployment strategies further cemented his expertise in optimizing robotic sensor network deployment. Gusrialdi's research has since evolved toward safe autonomous navigation, with recent contributions including LiDAR-based Control Barrier Function synthesis for robots operating in unknown environments and safety-guaranteed distributed formation control for multi-robot systems. His interdisciplinary reach is evident in a 2012 study modeling inter-human movement coordination, demonstrating the breadth of his systems-level thinking. With over 240 cumulative citations across his most notable works, Gusrialdi's research continues to shape how autonomous systems are deployed, coordinated, and kept safe in complex, real-world environments.

Research Focus

Key Achievements

9
H-Index
19
Papers
284
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Coverage control for mobile networks with limited-range anisotropic sensors
63 citations · 2008
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Technical University of Munich, Tokyo Institute of Technology, Tampere University, University of Central Florida

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago