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Zero-shot sim-to-real transfer for quadrotor control is now systematically achievable, thanks to a unified framework that integrates differentiable physics learning with training, validation, and real-world deployment.
Ditch the point-mass abstraction: this RL policy directly controls quadrotor body rates from depth images, achieving unprecedented speed and stability in complex environments.
