Ilya Basharov
Papers
2
Total Citations
11
H-Index
2
About
Ilya Basharov is a researcher at the forefront of intelligent robotics and autonomous systems, with a primary focus on real-time perception and mobile manipulation. His work bridges the gap between computer vision and physical interaction, enabling robots to perceive and act in dynamic environments. Basharov’s most cited paper, “Real-Time Deep Neural Networks for Multiple Object Tracking and Segmentation on Monocular Video” (2021, 7 citations), addresses a critical challenge for unmanned ground vehicles: achieving robust, real-time object tracking and segmentation using only a single camera. This work explores and compares deep neural network architectures, laying the groundwork for safer and more perceptive autonomous navigation. Complementing this, his research in “Door Opening Strategy for Mobile Manipulator with Constrained Configuration” (2022, 4 citations) tackles the practical, high-impact problem of enabling a mobile robot with limited degrees of freedom to manipulate its environment—specifically, opening doors. This contribution is vital for robots operating in human-centric spaces. With a growing citation footprint, Basharov is establishing himself as a key contributor to the next generation of capable, perceptive, and interactive autonomous systems.
Research Focus
Key Achievements
Top Papers
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