Valeri Kroumov
Papers
7
Total Citations
82
H-Index
5
About
Valeri Kroumov is a robotics researcher whose work focuses on the intersection of mobile robot navigation, path planning, and sensor fusion. His primary research areas include visual simultaneous localization and mapping (vSLAM), neural network-based path planning, and simulation environments for autonomous systems. Kroumov has made significant contributions to improving robot positioning accuracy through the use of artificial visual landmarks, as demonstrated in his 2011 paper on localization and position correction, which has garnered 18 citations. His 2009 work on 3D path planning using annealing neural networks, also with 18 citations, introduced a novel potential field approach that generates collision-free paths in known environments. Additionally, Kroumov developed a simulation environment using ROS and Gazebo (2016, 17 citations), enabling robust testing of control algorithms and robot behavior. His research has practical implications for unmanned vehicles and autonomous navigation, with cumulative citations exceeding 80 across his most-cited works. Kroumov’s integration of neural networks with path planning and landmark-based localization represents a notable achievement in advancing mobile robot autonomy.
Research Focus
Key Achievements
Top Papers
- 1Localization and position correction for mobile robot using artificial visual landmarks18 citations · 2011
- 23D path planning for mobile robots using annealing neural network18 citations · 2009
- 3Simulation environment for mobile robots testing using ROS and Gazebo17 citations · 2016
- 4Neural Networks Based Path Planning and Navigation of Mobile Robots13 citations · 2011
- 5
- 6
- 7Mobile Robot Navigation Using Artificial Landmarks and GPS4 citations · 2013