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--- |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- object-detection |
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tags: |
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- complex actions |
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- sensor data |
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- robotic |
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- robot learning models |
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- multimodal robot manipulation |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Robotic Dataset |
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The dataset comprises **1,000+** hours of **multimodal robot manipulation** data collected from real-world environments, demonstrating manipulation tasks such as **cleaning, laundry folding, and dishwashing** performed by different robots. It contains synchronized **sensor data** from seven **9-axis IMU units** attached to the robot arms, forearms, and chest, along with head-mounted videos and detailed trajectory recordings. |
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By utilizing this dataset, researchers can explore learning methods and robot manipulation techniques that enhance the ability of real robots to **handle different objects** and perform **complex actions** in real-world scenarios. - **[Get the data](https://unidata.pro/datasets/robotic-household-activities/?utm_source=huggingface&utm_medium=referral&utm_campaign=robotic-household-activities)** |
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Designed for robotic learning and model training, it provides data suitable for training models in robotic systems, foundation models, and real-world applications of humanoid robotics and robot manipulation. |
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## 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/robotic-household-activities/?utm_source=huggingface&utm_medium=referral&utm_campaign=robotic-household-activities) to discuss your requirements and pricing options. |
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Dataset enables researchers and developers to build large-scale robot learning models, making it an essential resource for advancing robotic manipulation and real-world robotics research. |
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## 🌐 [UniData](https://unidata.pro/datasets/robotic-household-activities/?utm_source=huggingface&utm_medium=referral&utm_campaign=robotic-household-activities) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects |