Ivan Kalinov
Papers
11
Total Citations
302
H-Index
8
About
Ivan Kalinov is a robotics researcher whose work centers on autonomous systems, heterogeneous robot collaboration, and AI-driven perception for real-world applications. His major contributions span warehouse automation, precision agriculture, and public health robotics. Kalinov’s most cited work, *WareVision* (84 citations), introduces a CNN-based barcode detection system that optimizes UAV trajectories for autonomous stocktaking in low-light warehouses, while *High-Precision UAV Localization* (54 citations) enables seamless UAV-UGV collaboration through infrared marker pattern recognition. He also developed *WareVR* (33 citations), a virtual reality interface for supervising robotic inventory systems, and pioneered soft landing control for UAVs on ground robots via impedance-based methods. Beyond logistics, Kalinov applied multi-spectral vision and CNNs for early apple disease detection (46 citations) and created the *UltraBot* disinfection robot (8+ citations) to combat COVID-19 transmission. His work on omnidirectional visual SLAM (*MuCaSLAM*, 11 citations) and two-wheeled robotic swarms for Mars exploration (28 citations) further demonstrates his versatility. With over 300 total citations, Kalinov’s research consistently bridges cutting-edge AI, robotics, and human-robot interaction to solve pressing industrial and societal challenges.
Research Focus
Key Achievements
Top Papers
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- 5The two-wheeled robotic swarm concept for Mars exploration28 citations · 2022
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- 7Customer behavior analytics using an autonomous robotics-based system16 citations · 2020
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- 9UltraBot: Autonomous Mobile Robot for Indoor UV-C Disinfection8 citations · 2021
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