Browse humanoid robot and embodied AI training datasets. Explore source-backed articles and glossary definitions covering robot learning, hardware, control, and simulation.
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IFR estimates that about 7,000 full-size humanoid robots were sold in 2025. Learn what the figure counts, why it does not establish deployment scale, and which operating data matter.
Figure reports that more Index pretraining data lowered Helix 2.5's held-out action-prediction loss. We separate that scaling study from its 30-home task test.
Skild AI says its S1 model can use one video demonstration to perform unseen, long-horizon tasks. This analysis explains the test and what data buyers still need to verify.
Video, VR, and motion-capture systems can turn human movement into robot trajectories. Learn why provenance, contact, robot constraints, and external execution checks still matter.
Eidon Tracker POV contains 13,451 egocentric recordings totalling 1,273.8 hours from 27 contributors performing household tasks, predominantly folding laundry. Head-mounted MP4 video spans 1080p to 4K, mostly at 30 fps. The companion tracker-pov-imu repository provides 24 Hz orientation quaternions for a seven-point harness on the hands, forearms, upper arms and chest, joined to video metadata by recording_id. Raw accelerometer, gyroscope and magnetometer readings are available for 2,841 recordings; 129 recordings have fewer than seven sensor slots. Video and IMU capture are not hardware-synchronised. Metadata includes activity labels and quality-control flags, including invalid recordings. Footage is unredacted; contributor-level splits and quality filtering are recommended. The separate 306-hour video-only bucket is not included in these totals.
The downloadable T-Rex release contains 5,464 teleoperated episodes—5,473,459 frames, or about 50 hours at 30 Hz—collected on a fixed-base bimanual Dexmate Vega-1 with two Sharpa Wave dexterous hands; the paper reports a 100-hour full corpus. The release spans 207 household objects and 22 motor primitives, including 5,370 language-annotated trajectories. Each episode aligns three RGB views, bimanual joint states and target actions, ten raw fingertip-tactile video streams, ten deformation-map streams, and per-fingertip 6-axis wrench signals in LeRobotDataset v3.0.
EgoSuite-Open100K is a staged 100,000-hour release of egocentric human demonstrations spanning more than 15,000 tasks and 15,000 distinct scenes across 18 task categories and seven environment categories. EgoStandard allocates 90,000 planned hours to head-view video with synchronized left and right 3D hand poses and optional full-body pose; EgoPro allocates 10,000 planned hours and adds wrist-view video. Data is distributed in LeRobot v3 and MCAP, with event-level semantic annotations on selected subsets; EgoDemo provides a 50-hour sample drawn from the four annotated sub-SKUs.
LIBERO-Plus expands LIBERO into a robustness benchmark with 10,030 test-only simulated task instances spanning seven perturbation factors and 21 subdimensions: object layout, camera viewpoint, robot initial state, language, lighting, background texture, and sensor noise. Tasks are generated automatically and stratified into five difficulty levels. The associated mixed training release contains more than 20,000 successful trajectories; its official LeRobot package exposes 14,347 episodes, 2,238,036 frames at 20 Hz, and 40 task labels with front and wrist RGB, robot state, and actions.