{
 "id": "knu-physical-ai/fr3-action-space-case-study",
 "owner": "knu-physical-ai",
 "name": "fr3-action-space-case-study",
 "downloads": 81,
 "likes": 0,
 "last_modified": "2026-08-03T09:30:50.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "robotics"
 ],
 "citation": "- Zhao, Kumar, Levine, Finn. [*Learning Fine-Grained Bimanual Manipulation with Low-Cost\n  Hardware*](https://arxiv.org/pdf/2304.13705) (ACT / ALOHA) — the leader-vs-follower action\n  convention and temporal ensembling.\n- [Action Chunking with Transformer (ACT) — overview](https://www.emergentmind.com/topics/action-chunking-with-transformer-act)\n- [*SEAM: Smooth Execution of Action-Chunked Motion for Vision-Language-Action Policies*](https://arxiv.org/html/2607.04609)\n- Black et al. [*Real-Time Execution of Action Chunking Flow Policies*](https://www.pi.website/download/real_time_chunking.pdf) (Physical Intelligence)\n\nCollected with [GELLO](https://github.com/redEddie/gello_software) on an FR3 via\n[libfranka](https://github.com/frankarobotics/libfranka); converted with\n[LeRobot](https://github.com/huggingface/lerobot) v3.0.",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "b5ad3922219fe46932195926da6dbe4859b6ea76",
 "stated_evidence": "https://huggingface.co/datasets/knu-physical-ai/fr3-action-space-case-study/blob/b5ad3922219fe46932195926da6dbe4859b6ea76/README.md",
 "file_evidence": "https://huggingface.co/datasets/knu-physical-ai/fr3-action-space-case-study/tree/b5ad3922219fe46932195926da6dbe4859b6ea76",
 "card_nc": false
}