CLARU
Tartan-IMUother

IROS-Tartan-IMU-Challenge

Official dataset for the IROS workshop challenge on cross-embodiment inertial velocity estimation, requiring models to predict 3-D body-frame velocity from 6-axis IMU measurements across four robot embodiments: car, dog, drone, and human.

Downloads9
Episodes315

Why This Matters for Physical AI

This dataset enables cross-embodiment learning of velocity estimation from inertial measurements, advancing embodiment-agnostic physical AI models that can generalize across diverse robot platforms.

Technical Profile

Modalities
imu
Robot Embodiments
cardogdronehuman
Task Types
velocity_estimationinertial_odometry
Episodes
315
Data Format
npz
Annotation Types
velocity_labelsposition_labelsquaternion_labels
License
other
Part of the IROS-Tartan-IMU-Challenge family

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