Datasets:
Modalities:
Video
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
robotics
embodied-ai
dexterous-manipulation
robot-learning
imitation-learning
laboratory-automation
License:
Update README.md
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README.md
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license: cc-by-4.0
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---
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license: cc-by-4.0
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pretty_name: LabDex
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language:
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- en
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tags:
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- robotics
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- embodied-ai
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- dexterous-manipulation
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- robot-learning
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- imitation-learning
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- laboratory-automation
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# LabDex: A Hierarchical Benchmark for Dexterous Manipulation in Laboratories
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<p align="center">
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<a href="https://zhipeng-tang.github.io/LabDex/">Project Page</a>
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<a href="YOUR_PAPER_LINK">Paper</a>
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<a href="YOUR_CODE_LINK">Code</a>
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</p>
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## Overview
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**LabDex** is a large-scale dataset and benchmark for **dexterous manipulation in chemistry laboratories**, designed to support the training and systematic evaluation of robotic policies across different levels of task complexity.
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LabDex provides unified **real-world and simulation platforms** and organizes laboratory manipulation into three hierarchical levels: **Atomic Skills**, **Compositional Skills**, and **Long-Horizon Laboratory Workflows**. The dataset contains **30+ atomic skills, 10+ compositional skills, 20+ laboratory assets, 8,000+ demonstration episodes, and over 1 million trajectory steps**.
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Each demonstration includes synchronized **multi-view RGB observations, robot proprioceptive states, robot actions, and hierarchical task annotations**, providing a standardized foundation for research on laboratory dexterous manipulation and autonomous laboratory robots.
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