13136 / 13141 - Artificial Intelligence Center

Projects Supported by Grants 2022

Bošanský, B.: Flexible and Resilient Autonomus Systems

2018 - 2023, 17RT0176

Edelkamp, S.: Multi-Goal Task-Motion Planning

2022 - 2024, GA22-30043S

Faigl, J.: Towards Optimal Curvature-Constrained Tours in Robotic Applications

2019 - 2022, LTAIZ19013

Faigl, J.: Learning Complex Motion Planning Policies

2021 - 2023, GC21-33041J

Faigl, J.: Towards Optimal Solution of Robotic Routing Problems

2022 - 2024, GA22-05762S

Faigl, J.: Risk-Aware Trajectory Planning and Optical Image Recognition Assisted Landing System for Fixed-Wing UAVs

2022 - 2024, TM03000046

García, S.: AiDojo: Game-based testbed for rapid development of AI-driven cybersecurity

2022 - 2025, VJ02010020

Krajník, T.: RoboRoyale: ROBOtic Replicants for Optimizing the Yield by Augmenting Living Ecosystems

2021 - 2026, 964492

Král, L.: The Signal and the Noise in the Era of Journalism 5.0 - A Comparative Perspective of Journalistic Genres of Automated Content

2021 - 2023, TL05000057

Král, L.: Artificial intelligence and human rights: risks, opportunities and regulation

2021 - 2023, TL05000484

Král, L.: Central European Digital Media Observatory

2021 - 2024,

Král, L.: Support for increasing the impact, innovation and sustainability of CEDMO in the Czech Republic

2022 - 2025, Z220312000000

Kroupa, T.: Network modelling of complex systems: from correlation graphs to information hypergraphs

2021 - 2024, GA21-17211S

Lisý, V.: Algorithms for Playing Massive Imperfect-Information Games

2022 - 2024, GA22-26655S

Mareček, J.: Human-Compatible Artificial Intelligence with Guarantees

2022 - 2026, 101070568

Mareček, J.: COMBATTING DIET RELATED NON-COMMUNICABLE DISEASE THROUGH ENHANCED SURVEILLANCE

2022 - 2026, 101084642

Pevný, T.: Development of an efficient steganalysis framework for uncovering hidden data in digital media

2021 - 2024, 101021687

Pevný, T.: Unsupervised learning from heterogenous structured data

2022 - 2024, GA22-32620S

Rigaki, M.: FEEL: FEderatEd Learning for network security

2021 - 2022, 682R1/2021

Šmídl, V.: Transferability of AI-based fraud-detection models to support expansion on foreign markets

2020 - 2022, FW02020147