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quadrotor drones
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- 1Reinforcement learning helps quadrotors track trajectories despite disturbances▼In our SPIE paper "Enhancing quadrotor trajectory tracking under disturbances and degraded sensing: a reinforcement lear
Researchers at the Royal Military Academy in Belgium have published a SPIE paper presenting a reinforcement learning framework that improves quadrotor trajectory tracking when drones face disturbances and degraded sensing. The work targets robust control for agile drone flight, and the team has released its models and implementation publicly so others can explore and build on the approach.