Autonomous Systems
AI-enabled autonomy, drone & counter-drone R&D, sensor fusion, and resilient C2/C3 for contested environments.
Focus: We research, prototype, and evaluate autonomous and counter-autonomous capabilities across air, surface, and ground platforms. Our work spans perception (EO/IR/RF), onboard decision-making, resilient comms, and counter-UAS detection, tracking, and interdiction behaviours.
R&D highlights:
Perception & fusion: multi-sensor pipelines (vision/RF/IMU/GNSS), target classification, confidence scoring, and track management.
Autonomy: path-planning, cooperative behaviours, and rules-of-engagement guard-rails with safety interlocks.
Counter-UAS: detection/localisation via RF features and vision, effectors integration (non-kinetic where authorised), and operator-in-the-loop tools.
Edge platforms: GPU/FPGA acceleration, low-SWaP mission computers, and robust OTA updates for denied/contested networks.
Test & eval: high-fidelity simulation, hardware-in-the-loop, telemetry capture, and structured trials reporting for defence stakeholders.
Outcomes: demonstrators, TRL roadmaps, and transfer-ready modules that plug into existing C2 ecosystems—built with security, auditability, and explainability in mind.
