UAV Coordination & Autonomy
Early-stage research into scalable multi-agent frameworks for mission planning and adaptive behaviour.
We apply research in radar signal processing, UAV networks, and AI acceleration to serve operational needs across civil and defense sectors
Early-stage research into scalable multi-agent frameworks for mission planning and adaptive behaviour.
Development of signal-processing pipelines tested on embedded sensing platforms, focused on detection, clutter rejection, and situational awareness.
Exploring future deployment of lightweight AI models on edge hardware, with a focus on latency, efficiency, and robustness.
We develop dual-use technologies that enhance decision-making in both civil and defense contexts. Field applicability, operational robustness, and ethics-by-design are at the core of every line of code and every prototype we build.
We combine high-fidelity simulation with early hardware prototyping to explore and validate concepts quickly and rigorously.
Radar experiments leverage embedded sensors for physical-layer insight, while our UAV research progresses through modular iterations. AI inference acceleration is a planned milestone on our roadmap.
Simulation-driven design & verification
Hardware prototyping & field experimentation
Iterative refinement with domain feedback
Early-stage R&D work and methodologies have been timestamped to establish traceability and document innovation progress towards potential IP filings.