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Add robotics task category and project page link (#2)

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- Add robotics task category and project page link (44e7f62e681bc517102ed997ba98227436290617)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

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  1. README.md +35 -2
README.md CHANGED
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  ---
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  license: mit
 
 
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  configs:
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  - config_name: default
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  data_files:
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  # SafeFlowMPC Pretrain Dataset
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- SafeFlowMPC pretrain dataset that is used in this paper: [SafeFlowMPC Paper](https://arxiv.org/abs/2602.12794).
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- The code for training and inference is available at [SafeFlowMPC Github](https://github.com/TU-Wien-ACIN-CDS/SafeFlowMPC).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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+ task_categories:
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+ - robotics
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  configs:
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  - config_name: default
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  data_files:
 
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  # SafeFlowMPC Pretrain Dataset
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+ This repository contains the pretraining dataset for the paper [SafeFlowMPC: Predictive and Safe Trajectory Planning for Robot Manipulators with Learning-based Policies](https://arxiv.org/abs/2602.12794).
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+ [**Project Page**](https://www.acin.tuwien.ac.at/en/42d6) | [**Github Code**](https://github.com/TU-Wien-ACIN-CDS/SafeFlowMPC)
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+
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+ ## Dataset Description
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+ The dataset consists of robotic trajectories used to train a flow matching model for safe trajectory planning. The data was generated using a modified version of the VP-STO planner and is designed for 7-DoF manipulators (specifically tested on KUKA robots).
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+ This specific dataset is used for the **pretraining** stage of the imitation learning model, which focuses on learning policies without explicit safety considerations. For the finetuning stage with safety considerations, see the [SafeFlowMPC dataset](https://huggingface.co/datasets/ThiesOelerich/SafeFlowMPC).
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+ It contains:
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+ - `trajectories`: Sampled robotic joint trajectories.
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+ - `conditional_data`: Contextual information for the planner (e.g., initial configurations and goal poses).
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+
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+ ## Usage
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+
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+ This dataset is automatically loaded by the training scripts provided in the official repository. To pretrain the model using this dataset, you can run the following command from the repository:
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+
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+ ```bash
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+ python train_imitation_learning.py
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+ ```
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+
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+ ## Citation
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+ If you use this dataset in your research, please cite:
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+
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+ ```bibtex
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+ @inproceedings{oelerich2026safeflowmpc,
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+ title={SafeFlowMPC: Predictive and Safe Trajectory Planning for Robot Manipulators with Learning-based Policies},
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+ author={Oelerich, Thies and Ebmer, Gerald and Hartl-Nesic, Christian and Kugi, Andreas},
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+ booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
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+ year={2026}
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+ }
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+ ```