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.
This repository belongs to Kisaragi0 on Hugging Face.
CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.
