stalium/ledrone_pybullet_circle

ledrone_pybullet_circle A goal-conditioned, state-based imitation-learning dataset of a quadrotor performing the circle task (track a horizontal circular trajectory), generated in PyBullet rigid-body physics with a privileged analytic expert. Each frame pairs the drone's 13-dim proprioceptive state and a relative goal with the expert's velocity + yaw-rate command — ready to train goal-conditioned control policies (Diffusion Policy, ACT, …). A first-person-view (FPV) camera is… See the full description on the dataset page: https://huggingface.co/datasets/stalium/ledrone_pybullet_circle.

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