Dmitriy Kurennov
Ufa State Aviation Technical University, Ural Federal University
Papers
2
Total Citations
17
H-Index
2
About
Dmitriy Kurennov is a robotics researcher whose work focuses on the dynamic manipulation of objects, specifically through robotic throwing and catching. His key contributions lie in developing algorithms for trajectory estimation, a critical subtask for enabling robots to interact with moving objects in real time. In his most-cited work (2018, 9 citations), Kurennov proposed a novel approach using genetic programming to estimate the future trajectory of a thrown object from dual-camera video input. This method, further refined in a 2017 paper (8 citations), addresses the challenge of tracking and forecasting object paths, which is essential for tasks like automated sorting, assembly, or interactive robotics. By leveraging evolutionary computation, Kurennov’s algorithms offer a robust, adaptive solution for predicting motion without requiring explicit physical models. His research bridges computer vision and machine learning, providing a foundation for more agile and responsive robotic systems. Though still early in his career, Kurennov’s work is a notable step toward making robotic catching—a complex, high-speed task—more reliable and practical for real-world applications in manufacturing and logistics.
Research Focus
Key Achievements
Top Papers
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- 2