The laboratory is engaged in solving the problem of spatial markup (including solving subtasks of orientation, navigation, and mapping) primarily for mobile robotic platforms and modeling their behavior. The laboratory's research agenda includes:
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- Computer vision data (RGB and RGBD cameras, lidars, radars) processing,
- SLAM algorithms,
- Extension and application of the ROS platform,
- Modeling and validation of algorithms for mobile robotic platforms in 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 and subject areas of autonomous transport and spatial marking tasks.