Projects

We develop micro-robots that can inspect honeycomb cells with the aim of turning honeybee colonies into sensor networks for continuous, long-term ecological surveillance .

The project combines micro-robotic, biological, and machine learning to support pollination through interaction with the honeybee queens inside living honeybee colonies.

This large EU-funded multilateral project focuses on cutting-edge research in robotics and optimization algorithms for manufacturing and materials engineering.

This bilateral France - Czech project aims to improve acceptance of mobile robots through the integration of lifelong learning methods into the modules that constitute the core of their navigation systems.

Together with the Korean Advanced Institure of Science and Technology, we developed methods that introduce the notion of time into representations used in mobile robotics and autonomous driving.

During the Mohammed Bin Zayeed Robotics Challenges in 2017 and 2020, we assisted our Multirobot Systems Group with perception and mapping methods and won several gold, silver and bronze medals.

Together with the CVUT's Center of Robotics and Autonomous Systems, we successfully participated in four rounds of the Subterranean Challenge organised by the Defense Advanced Research Project Agency.

This project developed methods for spatio-temporal environment mapping and life-long vision-based navigation. These methods enabled continuous, long-term operation of mobile robots in changing and adverse evnironments.

Together with University of Technology of Belfort-Montbéliard (UTBM) in France, we developed methods enabling robots to learn how to detect and track dynamic objects in adverse conditions.

We aimed to develop robots capable to understand their environment and how it changes over time. This understanding enabled them to run for months in dynamic human environments.