Kirill Artemov
Papers
5
Total Citations
13
H-Index
2
About
Kirill Artemov is a roboticist whose work bridges control theory, computer vision, and path planning to create intelligent, adaptive robotic systems. His research centers on enabling robots to operate effectively in dynamic, human-centric environments—a challenge he tackles through innovations in motion control, object detection, and collision-free navigation. A key contribution is his continuous learning framework for object detection in robotic applications, which allows robots to recognize and localize novel objects on the fly without forgetting previously learned ones. He also advanced path planning for humanoid robots with a memory-efficient modification of the bi-directional RRT* algorithm, reducing computational overhead while maintaining robust multi-link collision avoidance. In a notable applied project, Artemov designed a two-stage visual servo control system for by-air quantum key distribution, demonstrating how robotic precision can support cutting-edge cybersecurity infrastructure. His work on collaborative robot manipulators, featuring real-time potential-field-based motion control, further underscores his focus on safe human-robot interaction. With over a dozen citations across his most-cited papers, Artemov’s research is steadily gaining recognition for its practical impact on teaching, industrial automation, and secure communications.
Research Focus
Key Achievements
Top Papers
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