All datasets / knu-physical-ai
knu-physical-ai/fr3-action-space-case-study
The declared licence (apache-2.0) is classified as permissive.
- Declared licence
- apache-2.0, from the tagEvidence: README.md at b5ad392
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at b5ad392
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
- Zhao, Kumar, Levine, Finn. [*Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware*](https://arxiv.org/pdf/2304.13705) (ACT / ALOHA) — the leader-vs-follower action convention and temporal ensembling. - [Action Chunking with Transformer (ACT) — overview](https://www.emergentmind.com/topics/action-chunking-with-transformer-act) - [*SEAM: Smooth Execution of Action-Chunked Motion for Vision-Language-Action Policies*](https://arxiv.org/html/2607.04609) - Black et al. [*Real-Time Execution of Action Chunking Flow Policies*](https://www.pi.website/download/real_time_chunking.pdf) (Physical Intelligence) Collected with [GELLO](https://github.com/redEddie/gello_software) on an FR3 via [libfranka](https://github.com/frankarobotics/libfranka); converted with [LeRobot](https://github.com/huggingface/lerobot) v3.0.
The same facts for your agent
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dataset_licence({ "id": "knu-physical-ai/fr3-action-space-case-study" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0