Papers
4
Total Citations
89
H-Index
4
About
Alexandros Makris is a leading researcher in autonomous robotics, with a focus on multi-robot systems, perception, and agricultural automation. His work bridges the gap between theoretical formal methods and practical deployment, particularly in heterogeneous teams where robots with different capabilities must collaborate efficiently. Makris’s most cited paper, “Computing occupancy grids from multiple sensors using linear opinion pools” (2012, 46 citations), introduced a robust probabilistic fusion method for lidar and stereo-vision data, advancing perception for autonomous vehicles. He further developed a decentralized framework for heterogeneous robotic agents (2021, 14 citations), enabling scalable cooperation in dynamic environments like hospitals and warehouses. In agricultural robotics, Makris contributed to the development of a tomato harvesting robot (2021, 14 citations), focusing on peduncle recognition and precise manipulator control. His work on adaptive multi-robot collaboration from formal task specifications (2021, 15 citations) demonstrates how high-level task logic can be translated into real-time coordination. With over 100 total citations, Makris’s research is shaping the future of intelligent, cooperative robotic systems for both industrial and agricultural applications.
Research Focus
Key Achievements
Top Papers
- 1Computing occupancy grids from multiple sensors using linear opinion pools46 citations · 2012
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