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This dataset contains multimodal data collected from real-world robotic manipulation tasks using a D435 depth camera and additional sensors. It is intended to support research in robot learning, perception, manipulation planning, and imitation learning.
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## 📁 Dataset Structure
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The dataset is organized into three task categories, each stored in a compressed `.tar.gz` archive:
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This dataset contains multimodal data collected from real-world robotic manipulation tasks using a D435 depth camera and additional sensors. It is intended to support research in robot learning, perception, manipulation planning, and imitation learning.
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# Usage Examlpes
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For usage examples, evaluation metrics, and fine-tuning code on this dataset, please refer to:
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[`Robotic Action Frame Prediction`](https://github.com/yutengzhang03/ip2p-finetune)
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## 📁 Dataset Structure
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The dataset is organized into three task categories, each stored in a compressed `.tar.gz` archive:
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