Clutter Pick — Unitree G1 Humanoid Teleoperation: "Pick a Target Object from a Cluttered Bin" Demonstrations (LeRobot)
Overview
Clutter Pick — Unitree G1 Humanoid Teleoperation: "Pick a Target Object from a Cluttered Bin" Demonstrations (LeRobot) is a video dataset. It covers English. Typical applications include LLM pre-training, evaluation & benchmarking and robotics & embodied AI. Relevant sectors: AI & Machine Learning and Manufacturing & Industrial. The listing mentions timestamps. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Listing mentions timestamps.
- A sample is indicated as available from the provider.
- Version 1.0 as published by the source.
Multi-view humanoid teleoperation demonstrations of a cluttered-bin pick-and-place manipulation task, captured on a Unitree G1 robot operated by a human teleoperator. Task: "Pick a target object from the cluttered bin and place it at the target location." Packaged as a HuggingFace LeRobot v2.1 dataset (3 episodes, 5,142 frames total) and QC-complete (Tier-1, 0 FAILs). Six video streams at ~30 fps, all H.264: head RGB (1920×1080), left + right color RGB (1280×720), a head-depth visualization (1280×720), a LiDAR render (640×480), and a third-person scene overview (1280×548). The parquet carries dense proprioception — 26-DOF joint state, 29-DOF action, joint velocity/torque, Cartesian pose/velocity/wrench, fingertip positions, tactile (normal/tangential/proximity), and a 4,096-point LiDAR point cloud per frame — plus frame timestamps + indices. Useful for cluttered-scene grasping, pick-and-place policy learning, multi-view + depth-aware representation learning, and VLA pretraining on humanoid teleoperation data.
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- Language
- English
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- LLM pre-training
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