Dmiriy Kurennov
Papers
1
Total Citations
5
H-Index
1
About
Dmitriy Kurennov is a researcher focused on robotics, computer vision, and intelligent control systems, with particular expertise in the real-time tracking and prediction of moving objects. His most cited work, "Observing and Forecasting the Trajectory of the Thrown Body with use of Genetic Programming" (2019, 5 citations), addresses a fundamental challenge in robotic manipulation: enabling robots to catch thrown objects. Kurennov’s key contribution lies in developing an algorithm that uses dual-camera video input combined with genetic programming to forecast an object’s future trajectory—a task critical for dynamic interaction between robots and their environment. This approach moves beyond traditional physics-based models by leveraging evolutionary computation to adapt predictions in real time. While his citation count is modest, his work is notable for tackling a difficult subtask within robotic catching, offering a novel, data-driven alternative to conventional forecasting methods. Kurennov’s research is particularly relevant for students and engineers working on autonomous systems, human-robot collaboration, and sensor-based control, demonstrating how machine learning techniques can enhance robotic perception and responsiveness in unstructured settings.
Research Focus
Key Achievements
Top Papers
- 1