Coordinated Intelligence for
Autonomous Systems
The projects focuses on the development of multi-agent autonomy frameworks and advanced swarming behaviors using the Robot Operating System (ROS) ecosystem. Our systems enable fleets of UAVs, UGVs, and UUVs to coordinate dynamically, adapt to changing missions, and operate in GPS-denied or contested environments.
We design and integrate distributed control algorithms, real-time communication layers, and cooperative decision-making logic, ensuring robust performance and scalability across air, ground, and underwater domains.
The architecture supports modular extensions for mission planning, vision-based coordination, and autonomous task assignment, allowing seamless integration into both simulation and real-world platforms.
Our swarming stack continues to evolve with advancements in AI, onboard perception, and mesh networking, powering the next generation of collaborative autonomous systems.
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