Machine learning digital twin for UAV systems

Flare Bright Ltd

In our synthetic environment (the machine learning digital twin ecosystem) we trial every single possible scenario, whether that be weather and wind, or the many different manoeuvres a drone can execute. Using reinforced learning, the ecosystem will choose the best outcomes, and therefore learn to optimise, plan or test a scenario. This allows organisations to test and evaluate rapidly and solve problems in a simulator, not in the expensive real world, and rapidly generates high performance real-world capabilities.

Categories

  • Fixed Wing
  • Rotary Wing
  • Autonomy & Control
  • Robotics
  • Artificial Intelligence
  • Digital Twins
  • Aircraft
  • Drones
  • Robotics
  • Cyber Essentials / Cyber Essentials PLUS
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