Langhui

AGIBOT WORLD Human robot imitation data set

10,000+emisodes poaching poaching poaching poaching poaching + invertebrate + 6D poaching + + + + + + + PHP fit to LeRobot 3.0

10,000+ episodes
Data size
1920×1080
Resolution
RGB-D+power
LeRobot 3.0
Adaptation framework
4-6 Weeks
Delivery Cycle

Dataset Overview

Definition:AGIBOT WORLD Human robot imitation data setIt is a high-quality operational trajectory data set for human robot imitation, which collects the real human robots' hands-on processes in the home and office scenes, and synchronizes the wide-angle RGB-D vision, in-person perception, wrist six-dimensional and end-end executioner status, which can be used directly to fine tune behavioral cloning and proliferation strategies.

Dataset NameAGIBOT WORLD Human robot imitation data set
Total Data Volume10,000+episodes Full Operational Tray
Visual Modality3D wide angle RGB-D 1920 x 1080
Body perceptionGear angle/angular speed/end position + wrist 6D
CoverageScenesHouseholds (receiving, cleaning, desktop operations) and office (collating, handling, equipment operations)
Fit FormatLeRobot 3.0 for ACT / Diffusion Policy fine tune
TasksAnnotationLanguage command + Job Success Label + Track Sub-section
LanguageThe Chinese command is master, translated in English

Core Data Fields

  • episode_id - Only track identifier and index of scene/task type
  • rgb_d - 3D wide angle RGB and alignment depth frame sequence
  • proprio - joint angle, angle speed, end end 6D positional sense
  • wrench6d - 6-D/RPV sampling
  • ee_state - End implementer switch and hold.
  • action_chunk - Action block sequences, directly for strategic regression

Annotation and Quality Inspection

  • Trail-level manual review: continuous operation and mission-success tag double-examination, not less than 10%
  • Multisensor time synchronization verification: visual/power/intraspective clock alignment error control
  • Privacy and compliance: collection of environmental sensitization and provision of complete authorization documents
  • Automation of pre-delivery verification: format integrity, field missing rate and readability full-scale check

Applicable Scenarios and Delivery

Apply sceneHuman robot imitation learning, ACT / Diffusion Policy strategy fine-tuning, twin-arm synergetic operation studies, power-mix control exploration
Delivery FormatLeRobot 3.0 / HDF5 / JSON metadata, with examples of parametering and reading
Delivery Cycle4-6 Weeks
License TypeCommercial Use License + Data De-identification + Complete Authorization Documents

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