Swarm is a Bittensor subnet engineered to enable decentralized autonomous drone flight through reinforcement learning policies. Validators create synthetic map tasks and evaluate miner-supplied pre-trained RL policies inside a PyBullet physics simulator. The subnet aims to establish open-source flight algorithms as the go-to control intelligence for micro-drone navigation in research and industry.
This subnet is currently safe from deregistration.
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Yuma Pulse™
Drone Autopilot
RL policies for autonomous drone navigation evaluated in realistic physics simulation
Open Flight Algorithms
Open-sourcing flight control for safer, cheaper, and more accountable drone systems
PyBullet Simulation
Realistic physics-based evaluation environment with random start-goal mission generation
Winner-Take-All
Top performer receives 25% of emissions based on success rate and flight speed