Alexander Petrovsky
Papers
6
Total Citations
193
H-Index
5
About
Alexander Petrovsky is a leading researcher in autonomous robotics, with a focus on heterogeneous robotic systems, precision agriculture, and planetary exploration. His work bridges computer vision, multi-sensor fusion, and intelligent control to create robust, real-world robotic applications. Petrovsky’s most impactful contribution is the development of “WareVision,” a CNN-based barcode detection system that enables UAVs to autonomously navigate and stocktake in low-light warehouses, a paper that has garnered 84 citations. He further advanced warehouse automation with an impedance-based control method for soft UAV landing on ground robots. In agriculture, he pioneered an autonomous mobile robot for early-stage apple disease detection using a multi-spectral vision system, a work cited 46 times. Petrovsky has also introduced a novel two-wheeled robotic swarm concept for Mars exploration, and developed the Passable Obstacles Aware (POA) path-planning algorithm for navigation in highly cluttered environments. His research on customer behavior analytics using RFID-equipped robots demonstrates the commercial potential of his work. With over 190 total citations, Petrovsky is recognized for creating practical, scalable solutions that push the boundaries of autonomous navigation and environmental perception.
Research Focus
Key Achievements
Top Papers
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- 2
- 3The two-wheeled robotic swarm concept for Mars exploration28 citations · 2022
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- 5Customer behavior analytics using an autonomous robotics-based system16 citations · 2020
- 6