Intro
We focus on the development of advanced software for autonomous systems, specifically designed
to optimise the coordination, route planning, navigation and control of multiple autonomous UAV and UGV
in real time. The main target market is military air and ground operations, with a
particular focus on swarm-based tactics for defence and combat against unmanned
aerial vehicles (counter-UAV). Our software offers a unique combination of
deterministic methods and advanced artificial
intelligence strategy. Check out our current and past projects.
News
20-03-2025: We are happy to share that we are the winner of the
Münchener Businessplan Wettbewerb Phase 1.
from BayStartup.
18-02-2025: We are happy to share that we were finalists in the Münchener Businessplan Wettbewerb Phase 1
...
Projects
Our development projects revolve around multi-agent multi-platform real-time trajectories optimisation, swarms navigation and routing.
Elevate your project with our expertise - we can support you with:
- Automation with integrated solutions
- Prototyping and scaling of multi-agent systems management
- Inflight and onfield testing
- Consultancy to drive your projects forward
Take a look at our results and ongoing projects:
Navigation and Routing ▼
Drones are smarter, more reliable and faster, but how to coordinate them ? By developping and using mixed-integer solver we unleash the potential of multi-drones mission management. Don't hesitate to contact us if you're interested into developping a solution for your multi-drones operations.
Cross domain USX ▼
Coupling Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs) offers numerous advantages for mission efficiency and versatility. UGVs can provide a stable platform for UAVs during landing and take-off in challenging environments. Additionally, UGVs can be used for tasks like transporting payloads, resupplying, or augmenting UAV projection by acting as relay stations for communication or providing ground-based data collection. This synergy maximizes operational flexibility, increases mission autonomy, and extends the range and reach of both systems. We developp real-time control algorithms to allow interactions between UAV and UGV.
Swarming and formation flight ▼
When flying together, UAVs can form smart formations to save energy and improve stealth. By flying in formation, UAVs reduce drag through aerodynamic effects, which lowers fuel consumption and extends flight time. These formations can also enhance radar stealth.
Our Team
The four founders of MUVOpt bring together a unique blend of expertise, optimisation and optimal control, dynamic systems, performant hardware bridging software with physical devices, all-together focusing on real-world applications. By combining cutting-edge theory and practical innovation, they drive solutions in software and multi-agent complex systems. Contact us if you are interested into our products.
Viktoriya Nikitina, PhD Candidate,
Mathematics: Mixed-Integer Optimisation Problems.
Jeremy Bertoncini, PhD Candidate,
Mathematical Engineering: Optimal Control.
Thomas Rottmann, PhD Candidate,
System Engineering: Hardware, Telecommunications, Interfaces, Algorithmics.
Prof. Dr. Matthias Gerdts,
Mathematics: Optimisation, Optimal Control
We will come back
to you soon !
Contact us at info@muvopt.de
Legal Notice
Disclaimer:
- Founding in process...
- MUVOpt is a Spin-off of the Universität der Bundeswehr München.
Responsible for the Content of this Website:
Jeremy Bertoncini
Universität der Bundeswehr München
Werner-Heisenberg-Weg 39
85577 Neubiberg/München
Germany
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