Pavlo Krot

Wrocław University of Science and Technology

Papers

4

Total Citations

62

H-Index

3

About

Dr. Pavlo Krot is a leading researcher in the diagnostics and dynamics of industrial machinery, with a primary focus on belt conveyor systems and vibration-driven robotics. His most impactful work addresses the monumental challenge of monitoring belt conveyors that can stretch for tens of kilometers and contain thousands of idlers—a task impossible with traditional sensor networks. Dr. Krot pioneered a novel, cost-effective approach using image data analysis to measure idler rotation speed, enabling non-contact diagnostics for predictive maintenance. This work, published in 2022, has already garnered 36 citations, reflecting its immediate relevance to the mining and bulk materials handling industries. He has further refined this technique in subsequent studies, including a 2023 paper on rotation speed assessment via image analysis. In parallel, Dr. Krot has made significant contributions to mobile robotics, investigating the locomotion of wheeled vibration-driven robots. His research into vibro-impact working regimes and V-shaped suspensions, published in 2022 and 2024, explores how impact gap values influence translational speed, advancing the design of autonomous systems for inspection and exploration. With a growing citation record and a clear trajectory of innovation, Dr. Krot is establishing himself as a key figure in merging computer vision with mechanical system diagnostics.

Research Focus

Key Achievements

3
H-Index
4
Papers
62
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Measurement of idlers rotation speed in belt conveyors based on image data analysis for diagnostic purposes
36 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Wrocław University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago