Michalis Thanou
Papers
3
Total Citations
149
H-Index
3
About
Michalis Thanou is a leading researcher in distributed robotics and autonomous systems, whose work fundamentally advances how multi-robot networks perceive and interact with complex environments. His primary research areas include coverage control, multi-agent coordination, and motion planning under sensing and kinematic constraints. Thanou’s most influential contribution is his pioneering approach to distributed coverage control for concave and non-convex areas using heterogeneous robot swarms with visibility sensing constraints—a breakthrough that has garnered over 120 citations. In his seminal 2015 paper, he introduced novel algorithms enabling robots with limited, range-restricted fields of view to collaboratively cover irregular, non-convex regions, a critical capability for real-world search-and-rescue and environmental monitoring missions. His 2014 work further extended these principles to homogeneous networks operating in non-convex environments. Additionally, Thanou has made notable contributions to geodesic motion planning on 3D terrains, developing shortest-path algorithms that respect robot kinodynamic constraints. His research bridges theoretical rigor with practical deployment challenges, making him a key figure in the evolution of intelligent, distributed robotic systems.
Research Focus
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