
The ROBOPROX project focuses on cutting-edge research in robotics and optimization algorithms for manufacturing and materials engineering. Over the course of four years (2024-2028), the team of 180 top experts and dozens of new PhD students and postdocs will address the current demands of the Czech industry to resolve the rapid transformation of the sector and stay competitive at European and global levels.

The 2023 Horizon Europe project CoDiet aims to combat diet-related diseases through innovative diet-monitoring technologies, AI-assisted data analysis and personalized nutrition.

Project AutoFair receives 3,8 million EUR from the EU. Its aim is the research and development of transparent and explainable AI algorithms. Read more about this huge project we are coordinating!

Together with researchers from the Deggendorf Institute of Technology, we are participating in a project using 5G infrastructure in robotic tasks.

AI Center partners with Bell to explore state-of-the-art transportation solutions in the latest project titled Passenger Decision Modeling in a Multi-Modal Urban Environment.

Our Chronorobotics Laboratory is fighting Covid epidemic by developing an app using artificial intelligence and anonymized data collection. The project FreMEn contra Covid is based on community-driven data, therefore we call for your participation! Furter info in the article [Czech].

We are developing an algorithm for pipetting robots that will help automate coronavirus testing at the Motol University Hospital. It is designed to allow pipetting robots to handle samples quickly and safely, avoiding cross-contamination.

BIG NEWS! We are establishing a joint laboratory with Avast (AAICL) to forster research in the field of cybersecurity and artificial intelligence.

Aposemat is a joint project of Stratosphere Lab and Avast Software company to create, publish and analyze malware attacks on IoT devices.

The CivilSphere project (Stratosphere Lab, AIC) provides free services to people at risk to detect targeted cyber security threats.

We are releasing the project Ludus which aims at improving the security of Turris routers. This research is funded by the Technological Agency of the Czech Republic and is a joint project of the Stratosphere team and CZ.NIC association.

What will the future of journalism be like when AI comes in place? Our researchers will explore that in a new project together with scientists from Faculty of Social Sciences at Charles University, University of West Bohemia in Pilsen and ČTK (Czech Press Office). The primary objective of the research is the emergence of AI system that will generate texts for further intelligence use.

Privacy Preserving Multi-Agent Planning
Member of our departement - Antonín Komenda and his team Michal Štolba, Daniel Fišer and Michaela Urbanovská were awarded the GAČR grant.

New GAČR project (2017-2019) by Tomáš Krajník: Spatio Temporal Representations for Life-Long Mobile Robot Navigation

New international Horizon 2020 ELECTRIFIC project in the Artificial Intelligence for Transport and Mobility group, AIC.
The project will solve:
Context-aware travel planning and scheduling algorithms for electric vehicles
Market-based charging capacity allocation and demand management mechanisms for electric vehicles

The Stratosphere IPS is a free software Intrusion Prevention System that uses Machine Learning to detect and block known malicious behaviors in the network traffic.
The Stratosphere IPS Project has participated in the CitizenLab Summer Institute 2015, organized by the Munk School of Global Affairs, University of Toronto. The workshop gets together the most significant actors protecting the digital rights of civil society, including privacy, anti-censorship and anti-surveillance research.

Extension of the Traffic Flow Modeling Project. A number of extensions will be developed to further improve the pedestrian flow model, allowing simulation and evaluation of a wider range of scenarios and improve performance and believability of the model on existing scenarios.

Our researcher Milan Rollo participates in project for forest monitoring by unmanned aerial vehicles sponsored by The Ministry of Agriculture of the Czech Republic.

AgentFly is an agent-based system for a large scale air traffic simulation. It is able to simulate tens of thousands airplanes in detail, e.g. to compute fuel consumption. It also models cognitive behavior of air traffic controllers to simulate their activities and workload. The AgentFly can be used to simulate complete air traffic over US to predict future air traffic

GAČR project by Jan Faigl: Adaptive Informative Path Planning in Autonomous Data Collection in Dynamic Unstructured Environments

Agent-based algorithms for road traffic autonomous support systems: Project focusses on massive autonomous traffic system simulations mainly for the purposes of development of algorithms for autonomous traffic systems and multi-agent optimization of transportation logistics. Individual research results are cross-validated to ensure their scalability, reliability, fidelity and applicability in unified realistic autonomous traffic system.

The Centre of competence RODOS (ROzvoj DOpravních Systémů – in Czech) is a consortium of leading Czech research institutions and business companies active in the field of telematics and intelligent transport systems.

In Computation Game Theory we study and design new algorithms for finding optimal behavior in finite sequential scenarios, where agents have to deal with limited information, uncertainty, and competing opponents. Typical examples include classical card and board games, scenarios from the security domain, or auctions

Pre-seed Project - Autonomous UAVs for tactical missions and critical infrastructure protection
Pre-seed aims at design and deployment of algorithms for surveillance and patrolling on multiple autonomous UAVs for protection of critical infrastructures (oil-pipelines, power lines, etc.) and use in tactical missions. We try to develop a system for integrated command and control that increases autonomy of fleet of UAVs and provides common operation picture for the UAV operator.