The ultimate goal of this laboratory is to develop intelligent, fully autonomous mobile robots and adaptive STEM education programs in robotics.
The laboratory works on solving the problem of spatial markup (including solving the subtasks of orientation, navigation, and mapping), primarily for mobile robotic platforms, while also modeling their behavior. The laboratory's research agenda includes:
The laboratory also has extensive experience in developing automatic verification systems and virtual laboratories for technologies in autonomous transport, spatial marking tasks, and other areas.
Duckietown is an open research project in the autonomous robotics domain developed by Duckietown Foundation. It consists of two parts – robots (“Duckiebots”) and a town ("Duckietown") where these robots roam. A lifelike traffic environment including traffic lights, road signs, road markings, and obstacles are simulated throughout the town. Duckiebots are built on an autonomous chassis and work using a single-board computer with ROS. All of the software is autonomous. The main sensor is used for receiving data from the environment.
There are several well-known techniques for SLAM: beginning with “classic” SLAM based on the Extended Kalman Filter and ending with modern graph-based algorithms. Our laboratory managed to implement its own SLAM algorithm that uses 3D laser scans as an input.
The SLAM testing service (STS) could help SLAM researchers to automate the evaluation of SLAM methods. STS is based on ROS and uses ROS APIs to launch tests and provide input data to ROS-compatible SLAMs.
Massive Open Online Courses (MOOCs) have made the distribution of knowledge accessible and borderless across the world. We wish to harness their power and bring the opportunity to learn effectively to all people regardless of their background.
Workshop on AI for Autonomous Driving (AIAD), the 37th International Conference on Machine Learning (ICML2020)
The main goal of the schools is getting experience in research projects development, including work in international teams, and mastering with the newest technologies.
JASS (Joint Advanced Student School) is an annual international initiative to study emerging technologies using project-driven software development. The school is a place where students and professors from different countries gather for short-term, project-oriented, project-driven education in international teams.