⠀⠀⠀⠀⠀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⠀⠀⠀⠀⠀
⠀⢀⣀⣀⣀⣈⣀⣀⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⣀⣀⣀⣁⣀⣀⣀⡀⠀
⠀⠀⠀⠀⠀⣠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣄⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠛⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠛⠀⠀⠀⠀⠀
⠀⠀⠀⣾⣿⣿⣿⣿⠀⠀⠀⠀⠀⠞⠛⠛⠳⠀⠀⠀⠀⠀⣿⣿⣿⣿⣷⠀⠀⠀
⠀⠀⠀⠛⠛⠻⠿⠿⣿⣿⣿⡟⢁⡴⠛⠛⢦⡈⢻⣿⣿⣿⠿⠿⠟⠛⠛⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡈⠁⠘⢧⣀⣀⡼⠃⠈⢁⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⣠⣾⡿⠋⠀⢶⣄⣉⣉⣠⡶⠀⠙⢿⣷⣄⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⢀⣠⣾⠟⠋⠀⠀⠀⠈⠉⠉⠉⠉⠁⠀⠀⠀⠙⠻⣷⣄⡀⠀⠀⠀⠀
⠀⠀⠀⠀⣿⣿⡅⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢨⣿⣿⠀⠀⠀⠀
⠀⠀⠀⠀⠈⠻⣿⣄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣠⣿⠟⠁⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠙⢿⣦⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣴⡿⠋⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠈⠛⢁⣀⡀⠀⠀⠀⠀⠀⠀⢀⣀⡈⠛⠁⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⡇⠀⠀⠀⠀⠀⠀⢸⣿⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠉⠀⠀⠀⠀⠀⠀⠀⠀⠉⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀
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╚═════╝ ╚═════╝ ╚═╝ ╚═════╝ ╚═╝ ╚═══╝ ╚═════╝ ╚═╝ ╚═╝ ╚═╝
Fear not the drone that can conduct a thousand missions,
but the drone that has been trained for the same mission,
one thousand times
We are developing the future of drone autonomy - an incredibly efficient reinforcement learning framework, enabling lightspeed training of drone autonomy for any task.
We have approached the drone automation pipeline from the ground up, simplifying the action space of drone to capture only what is truly needed. We do this by transforming the world into a 3D chessboard, where the drone can autonomously strategise many moves ahead.
Our simulation framework is exceptionally performant. Where it would take existing simulation software a year to train behaviour, it would take our platform only one day.
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╚═╝ ╚══════╝╚═╝ ╚═╝╚═╝ ╚═╝
Brodie
University of Cambridge; Imperial College London
Developed 3D game engine in Rust (2018)
Full stack developer at Etellect since 16.
Researched novel assignment theory at Cambridge University.
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