Konovalov Konstantin
Papers
1
Total Citations
4
H-Index
1
About
Konstantin Konovalov is a robotics researcher focused on advancing autonomous multi-robot systems, with particular expertise in vision-based control and cooperative navigation. His most-cited work, "Image-based trajectory tracking and distance estimation of a follower robot from a leader one" (2023), addresses a fundamental challenge in leader-follower formations: enabling a robot to accurately track and estimate its distance from a leading robot using only visual input. This contribution is critical for applications such as warehouse logistics, search-and-rescue, and drone swarms, where reliable, sensor-efficient coordination is essential. While his citation count is still growing, Konovalov’s work demonstrates a clear, practical impact on the development of low-cost, vision-driven robotic teams. His research integrates computer vision, control theory, and real-time systems, offering scalable solutions that reduce reliance on expensive sensors. As the field of multi-robot systems expands, Konovalov’s contributions are poised to influence both academic research and industrial deployment, particularly in scenarios requiring robust, decentralized coordination.
Research Focus
Key Achievements
Top Papers
- 1