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Dataset · Hugging Face

Open-IO/full-mipo-go1-odometry

MIPO (Unitree Go1) Multi-IMU Inertial Odometry Dataset Paper | Project Page | Code Indoor and outdoor recordings of a Unitree Go1 quadruped: the body IMU, four foot-mounted IMUs, all 12 joint states with 4 foot-force channels, and a position reference for each split (OptiTrack motion capture GT indoors, a phone-based reference outdoors, see below). It is the quadruped benchmark of SSIO, which trains inertial odometry from the robot's own unlabeled IMU stream. The recordings are… See the full description on the dataset page: https://huggingface.co/datasets/Open-IO/full-mipo-go1-odometry.

Author / organizationOpen-IO
License (as declared)agpl-3.0
Downloads0 (as reported by Hugging Face)
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Created27 October 2026
Last updated at source27 October 2026
roboticsimuinertial-odometryquadrupedunitree-go1legged-robotsself-supervised-learning
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