Kisaragi0/arx5_real_world_datasets
arx5_real_world_datasets This repository contains the real-world robot datasets collected on the ARX-5 platform as presented in the paper Self-Correcting VLA: Online Action Refinement via Sparse World Imagination. The dataset is part of the SC-VLA framework, which enhances robotic physical grounding through intrinsic self-improvement using Sparse World Imagination (SPI) and Online Action Refinement (OAR). Code: https://github.com/Kisaragi0/SC-VLA Paper: Self-Correcting VLA:… See the full description on the dataset page: https://huggingface.co/datasets/Kisaragi0/arx5_real_world_datasets.
| Author / organization | Kisaragi0 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 150 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 3 February 2026 |
| Last updated at source | 26 February 2026 |
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- 16 Oct 2026 Description: arx5_real_world_datasets This repository contains the real-world robot datasets collected on the ARX-5 platform as presented in the paper Self-Correcting VLA: Online Action Refinement via Sparse World Imagination. The dataset is part of the → arx5_real_world_datasets This repository contains the real-world robot datasets collected on the ARX-5 platform as presented in the paper Self-Correcting VLA: Online Action Refinement via Sparse World Imagination. The dataset is part of the
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