USC-GVL/humanoid-everyday

Humanoid Everyday

A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation

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Overview

Humanoid Everyday is a large-scale, diverse humanoid manipulation dataset designed for open-world robotic learning and embodied intelligence.

It contains over 260 tasks across 7 major categories, covering dexterous manipulation, human–humanoid interaction, and locomotion-integrated activities.
All data were collected through a human-supervised teleoperation pipeline, recording multimodal sensory streams at 30 Hz (RGB, depth, LiDAR, tactile, IMU).

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Dataset Access

LeRobot v2.0

This dataset is compliant with the LeRobot v2.0 format. You can load it as follows:

from lerobot.datasets.lerobot_dataset import LeRobotDataset, LeRobotDatasetMetadata

ds_meta = LeRobotDatasetMetadata("USC-GVL/humanoid-everyday")

ds = LeRobotDataset(
    "USC-GVL/humanoid-everyday",
    tolerance_s=1e-2,
)

Legacy

You can also explore our dataset through the public spreadsheet below:

Humanoid Everyday Dataset Spreadsheet

The sheet includes:

• A full list of 260 humanoid tasks with labeled categorys and robot types.
• Download URLs for each task

A manual dataloader is provided at github.com/ausbxuse/Humanoid-Everyday

Citation

@misc{zhao2025humanoideverydaycomprehensiverobotic,
      title={Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation}, 
      author={Zhenyu Zhao and Hongyi Jing and Xiawei Liu and Jiageng Mao and Abha Jha and Hanwen Yang and Rong Xue and Sergey Zakharor and Vitor Guizilini and Yue Wang},
      year={2025},
      eprint={2510.08807},
      archivePrefix={arXiv},
      primaryClass={cs.RO},
      url={https://arxiv.org/abs/2510.08807}, 
}