The laboratory works on solving the problem of spatial markup (including solving the subtasks of orientation, navigation, and mapping) primarily for mobile robotic platforms and models their behavior. The laboratory's research agenda includes:
- processing of computer vision data (RGB and RGBD cameras, lidars, radars);
- SLAM algorithms;
- extension and application of the ROS platform;
- modeling and validation of algorithms for mobile robotic platforms in the Duckietown environment;
- building machine learning models for spatial markup problems.
The laboratory is also interested in developing automatic verification systems and virtual laboratories for technologies in the subject areas of autonomous transport and spatial marking tasks.