Papers
59
Total Citations
1,594
H-Index
18
About
Alexey S. Matveev is a prominent robotics and control systems researcher whose work has profoundly shaped the field of autonomous mobile robot navigation. His research centers on collision avoidance, nonholonomic robot control, environmental extremum seeking, and multi-robot coordination — areas where rigorous mathematical guarantees meet real-world engineering challenges. Matveev's most influential contribution, a comprehensive 2014 survey on collision-free navigation algorithms in cluttered environments, has accumulated over 466 citations, establishing itself as an essential reference for researchers and practitioners alike. Beyond surveying the field, he has made original algorithmic contributions, developing real-time navigation strategies for robots operating among moving and deforming obstacles, and globally converging reactive navigation methods that provide formal safety guarantees. A distinctive thread running through his work is the use of range-only measurements — distance data alone — to enable sophisticated behaviors such as target following, circumnavigation of moving targets in both 2D and 3D, and multi-robot encirclement with collision avoidance. His research on environmental extremum seeking further demonstrates his interest in robots that can autonomously locate and track spatial phenomena without prior maps. Through collaborative and distributed control frameworks, Matveev has also advanced multi-robot surveillance and cooperative boundary monitoring, leaving a substantial and enduring mark on autonomous systems research.
Research Focus
Key Achievements
Top Papers
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- 3Navigation of a unicycle-like mobile robot for environmental extremum seeking119 citations · 2010
- 4Range-only measurements based target following for wheeled mobile robots106 citations · 2010
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- 63D environmental extremum seeking navigation of a nonholonomic mobile robot49 citations · 2014
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