AI AUTOMATION SME10 / 10

SIMULATE → TRAIN → TEST → REPEAT AT GPU SPEED.

A reinforcement-learning pipeline automates scenario generation and policy training for fixed-wing detect-and-avoid.

SCRATCH-BUILT DAA · OPERATING LOOP

GENERATE

Create procedural aircraft and encounter scenarios.

SYSTEM

PARALLELIZE

Run 10,000–50,000 simulated environments.

SYSTEM

OBSERVE

Train from pixel-only 128×128 RGB inputs.

LEARN

Optimize a control policy with PPO.

EVALUATE

Measure avoidance behavior against defined constraints.

SYSTEM

DESIGNED OUTCOMEMassive simulation turns rare flight situations into a repeatable training loop.

6DOF PHYSICSCURRICULUMREPRODUCIBLE RUNS