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published index · updated 2026-08-11

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Datasets
229
Models
124
Open
136
Scored
228
Record type

353 records

Source-backed datasets and embodied models.

AgiBot World 2026 dataset sample.
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Dataset Series
Open

AgiBot World 2026

AgiBot (Zhiyuan Robotics) · 2026-03-01

AgiBot World 2026 is the latest release of the AgiBot World embodied-AI dataset, succeeding the earlier Alpha/Beta releases. It is collected in real-world commercial, home, and general-purpose environments using the AGIBOT G2 wheeled humanoid with dual 7-DOF force-controlled arms, capturing synchronized RGB(D), LiDAR point clouds, tactile, IMU, and full-body joint states. Released in sequential phases, it provides long-horizon manipulation, navigation, dual-arm coordination, and human-robot collaboration data in LeRobot format (~9.4 TB).

Navigationcustomlerobot
84
Catalog score

2976.4 hours

Readiness 77 · verified 2026-08-10

5 linked models

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RoboDojo Real-world tasks.
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RoboDojo

MMLab@HKU and collaborators · 2026-07-05

**RoboDojo** is a sim-and-real evaluation benchmark built to answer a blunt question: how good are generalist manipulation policies really? The answer it reports is sobering — the best of **30 policies evaluated in simulation** reached only **8.80%** success against **76.03%** for human teleoperation. - **60 tasks total**: **42 simulation tasks** (NVIDIA Isaac Sim 5.1 / Isaac Lab 2.3) spanning five capability axes — Generalization (12), Memory (6), Precision (8), Long-Horizon (8), Open-Vocabulary (8) — plus **18 real-world tasks** across three embodiments (ARX X5, Piper, Piper X). - Ships a **training dataset**: **3,500 simulated trajectories** (1,859,602 frames, **20.66 h**) and **1,800 real-world trajectories** (1,611,841 frames, **17.91 h**), all bimanual and recorded at **25 Hz**. - Distributed in several formats — **LeRobot v3.0** (120 GB), LeRobot v2.1 (64 GB), **HDF5** (523 GB), depth HDF5 (~4.5 TB), and real-world data (273 GB). - Real-world rigs use **3 synchronised cameras**: one head camera (Gemini 335L) and **two wrist cameras** (Gemini 305). Evaluation is **10 trials × 18 tasks = 180 real trials** per policy, scored double-blind by three independent evaluators. - **RoboDojo-RealEval** is a cloud-accessible real-robot evaluation service with standardised hardware and scene reset, so a policy can be benchmarked on physical robots remotely without owning any. - Policy integration runs through **XPolicyLab**, which unifies **40+ policies** behind one interface. - Simulation demonstrations come from two sources: **automated trajectory synthesis** composed from motion-planning primitives (grasp, place, handover, insert, open, close, stack, push_up), and **VR teleoperation** for tasks too complex to synthesise. Real-world demos are **leader-follower teleoperation**, 100 per task from four operators. Assembled by a 43-author consortium led by MMLab@HKU, with contributors from UC Berkeley, Tsinghua, Peking University, Stanford and MIT.

ManipulationApache-2.0hdf5
81
Catalog score

5300 episodes

Readiness 77 · verified 2026-08-09

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ABC-130k dataset sample.
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Open

ABC-130k

UC Berkeley / MIT / Amazon FAR / CMU / XDOF · 2026-06-25

ABC-130k is an open bimanual robot manipulation dataset released with the paper 'Scalable Behavior Cloning with Open Data, Training, and Evaluation'. It contains roughly 130,919 episodes (43,090 annotated) totaling about 3,598 hours collected on bimanual YAM stations with two 6-DoF arms and parallel-jaw grippers, spanning ~195 tasks such as pick-and-place, folding, sorting, handover, insertion, tool use, and assembly. Each episode includes three camera views (one top plus two wrist), joint states, end-effector poses, gripper aperture, and task/subtask annotations, plus 400 hours of accompanying sim-teleop data.

ManipulationApache-2.0custom
81
Catalog score

130919 episodes

Readiness 73 · verified 2026-08-09

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Galaxea Open-World Dataset dataset sample.
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Dataset Series
Open

Galaxea Open-World Dataset

Galaxea AI · 2025-08-30

The Galaxea Open-World Dataset is a large-scale real-world mobile manipulation collection gathered with a single embodiment, the Galaxea R1 Lite dual-arm mobile manipulator, across home, kitchen, retail, and office environments. It contains roughly 100K demonstration trajectories totaling 500+ hours, paired with fine-grained subtask-level language annotations. Data is released in LeRobot v2.1 format with four RGB camera streams plus proprioceptive state, and underpins the G0 dual-system VLA model.

Mobile robotscustomlerobot
81
Catalog score

100000 episodes

Readiness 73 · verified 2026-08-09

4 linked models

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HIW-500: Humanoids In-the-Wild dataset sample.
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HIW-500: Humanoids In-the-Wild

BitRobot · 2026-06-25

HIW-500 (Humanoids In-the-Wild) is a large-scale dataset for whole-body humanoid robot learning in natural home environments, capturing human teleoperation demonstrations on the Unitree G1 across 12 real homes in Southeast Asia. It contains 500+ hours and 23K+ episodes spanning 10+ household tasks with 161 subtask labels (~10 TB). Each episode records synchronized head (stereo RGB) and wrist (RGB + stereo IR) cameras, 29-DoF joint states, end-effector state, IMU, odometry, and language annotations.

Manipulationunknownrosbag
80
Catalog score

23000 episodes

Readiness 77 · verified 2026-08-10

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LeRobot Shirt-Folding Dataset dataset sample.
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Open

LeRobot Shirt-Folding Dataset

LeRobot (Hugging Face) · 2026-06-22

The shirt-folding dataset from LeRobot's open-source 'Unfolding Robotics: Open-Source Shirt Folding from Data to Deployment' project, which trained a bimanual robot to fold t-shirts at a 90% success rate. Collected via real-world leader-follower teleoperation across 8 bimanual setups optimizing for diversity (25+ t-shirts, 8 backgrounds, varied camera/robot heights), structured as Level 1 (fold a laid-out shirt) and Level 2 (spread a crumpled shirt, fold, set aside). The full dataset has 5,688 episodes (~131h); a curated high-quality subset (lerobot/high_quality_folding) has 1,200 episodes (~30h). Each episode has 3 camera streams (base 480x640, two wrists 720x1280) and 16-dim joint+gripper states/actions, stored in LeRobotDataset v3.0 (video-encoded).

ManipulationApache-2.0lerobot
80
Catalog score

5688 episodes

Readiness 70 · verified 2026-08-10

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