Mikhail Kurenkov
Papers
12
Total Citations
281
H-Index
8
About
Mikhail Kurenkov is a leading robotics researcher whose work spans autonomous navigation, visual SLAM, and intelligent motion planning for mobile robots. His most impactful contributions include pioneering the use of Convolutional Neural Networks for UAV-based warehouse stocktaking, achieving 84 citations for his WareVision system that enables real-time barcode detection and trajectory optimization in low-light environments. He has also developed high-precision localization systems for UAV-UGV collaboration (54 citations) and advanced memory-efficient SLAM through neural fields (23 citations). Kurenkov's comprehensive comparison of modern open-source Visual SLAM approaches (46 citations) has become a key reference for researchers. His notable achievements include the UltraBot, an autonomous UV-C disinfection robot developed during the COVID-19 pandemic, and customer behavior analytics systems using RFID technology. With over 270 total citations across his publications, Kurenkov continues to push boundaries in neural field-based motion planning and DNN-based visual localization, making significant contributions to both theoretical foundations and practical applications in autonomous robotics.
Research Focus
Key Achievements
Top Papers
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- 3Comparison of modern open-source Visual SLAM approaches46 citations · 2023
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- 5MeSLAM: Memory Efficient SLAM based on Neural Fields23 citations · 2022
- 6Customer behavior analytics using an autonomous robotics-based system16 citations · 2020
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- 8UltraBot: Autonomous Mobile Robot for Indoor UV-C Disinfection8 citations · 2021
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