Kirill Myasoedov
Papers
1
Total Citations
2
H-Index
1
About
Kirill Myasoedov is a roboticist specializing in autonomous navigation for mobile robots in complex, cluttered environments. His primary research focuses on developing intelligent path-planning algorithms that enable two-wheeled robots to perceive and interact with their surroundings more effectively. His most notable contribution is the Passable Obstacles Aware (POA) path-planning algorithm, which introduces a novel approach to obstacle classification. Unlike traditional methods that treat all obstacles as impassable, the POA planner distinguishes between passable and unpassable objects, allowing the robot to navigate through highly cluttered spaces with greater efficiency and flexibility. This work, published in 2023, has already garnered attention in the field, with 2 citations in its early stages. Myasoedov’s research bridges the gap between perception and motion planning, offering practical solutions for real-world robotic applications such as search-and-rescue or warehouse logistics. By redefining how robots interpret their environment, he is pushing the boundaries of autonomous navigation in challenging, dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1