{
 "id": "Ndolphin/SoftManipulator_sim2real",
 "owner": "Ndolphin",
 "name": "SoftManipulator_sim2real",
 "downloads": 132,
 "likes": 1,
 "last_modified": "2025-10-29T08:19:33.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "tabular-regression",
  "time-series-forecasting"
 ],
 "citation": "@article{hong2025bridging,\n  title={Bridging High-Fidelity Simulations and Physics-Based Learning Using A Surrogate Model for Soft Robot Control},\n  author={Hong, T. and Lee, J. and Song, B.-H. and Park, Y.-L.},\n  journal={Advanced Intelligent Systems},\n  year={2025},\n  publisher={Wiley}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "6a901816cde3dbfc32820382f81379fed912e8b4",
 "stated_evidence": "https://huggingface.co/datasets/Ndolphin/SoftManipulator_sim2real/blob/6a901816cde3dbfc32820382f81379fed912e8b4/README.md",
 "file_evidence": "https://huggingface.co/datasets/Ndolphin/SoftManipulator_sim2real/tree/6a901816cde3dbfc32820382f81379fed912e8b4",
 "card_nc": false
}