Security research project funded by the Czech Ministry of the Interior to develop autonomous robotic and aerial systems for reduced response times and enhanced protection of critical infrastructure.
Vsevolod Hulchuk
I’m a PhD researcher in robotics navigation, working on SLAM (simultaneous localization and mapping) systems that combine LiDAR, cameras, and IMUs—especially in environments where LiDAR on its own isn’t enough. My research focuses on sensor fusion and optimization in these challenging, degenerate cases. I have hands-on experience collecting multi-modal datasets (LiDAR, visual, inertial) and setting up SLAM competitions to benchmark algorithms in realistic, messy conditions. I also work with visual odometry, camera and IMU calibration, and techniques to detect and understand scan degeneracies. What I enjoy most is finding structure in what seems chaotic—turning raw, noisy data into something useful and even beautiful.
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A new initiative formed at the Department of Computer Science aims to advance ethical and explainable AI through interdisciplinary research and dialogue. It welcomes new members interested in connecting technical innovation with fairness, safety, and societal responsibility.
A landmark moment for artificial intelligence in Czechia unfolded at the Prague Planetarium with the official launch of the Czech AI Scene Map, an initiative by the Czech National AI Platform (CNAIP). This comprehensive map aims to be the definitive guide to the nation's burgeoning AI landscape. And we as Artificial Intelligence Center are part of it!
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