13136 / 13141 - Grants - 2020

13136 / 13141 - Artificial Intelligence Center

Projects Supported by Grants 2020

Bošanský, B.: Flexible and Resilient Autonomus Systems
2018 - 2023, 17RT0176
Bošanský, B.: Computing Equilibrium Strategies in Dynamic Games
2019 - 2021, GJ19-24384Y
Chrpa, L.: MoRePlan: Modeling and Reformulating Planning Problems
2018 - 2020, GA18-07252S
Chrpa, L.: Identifying Undoable Actions and Events in Automated Planning by Means of Answer Set Programming
2019 - 2020, 8J19AT025
Faigl, J.: Robotic Lifelong Learning of Multi-legged Robot Locomotion Control in Autonomous Data
2018 - 2020, GA18-18858S
Faigl, J.: Hybrid navigation system for autonomous vehicles in environment with denied GNSS services
2018 - 2020, TH03010362
Faigl, J.: Multi-Robot Persistent Monitoring of Dynamic Environments
2019 - 2021, GA19-20238S
Faigl, J.: Towards Optimal Curvature-Constrained Tours in Robotic Applications
2019 - 2022, LTAIZ19013
García, S.: An Improved IDS for IoT Threats Detection using Federated AI Learning and P2P cooperation
2020 - 2021, 666R1/2020
Komenda, A.: Privacy Preserving Multi-agent Planning
2018 - 2020, GJ18-24965Y
Krajník, T.: Towards long-term autonomy through introduction of the temporal domain into spatial representations used in robotics
2020 - 2021, GC20-27034J
Lisý, V.: Online Solution Methods for Imperfect-Information Games
2018 - 2020, GJ18-27483Y
Pačes, P.: System for Situational Awareness Improvement and UAS Operation Management
2019 - 2021, TF06000082
Pěchouček, M.: On-Demand Fleet Management with Quality of Service Guarantees
2018 - 2020, GA18-23623S
Pevný, T.: Hierarchical models for detection and description of anomalies
2018 - 2020, GA18-21409S
Pevný, T.: Using deep reinforcement learning to simulate security analyst
2018 - 2021, FA9550-18-1-7008
Pevný, T.: Game-theoretic foundations for learning algorithms resistant to evasion attacks
2019 - 2021, GF19-29680L
The page was created 06.08.2020 05:00:01
Responsible person: RNDr. Patrik Mottl, Ph.D.