Crossingz/

ARX5_Piper_Few_shot_Example

This repository contains a minimal real-world dataset provided to reproduce the interleaved task setting described in the paper MOTIF: Learning Action Motifs for Few-shot Cross-Embodiment Transfer. GitHub | Paper

MOTIF is a framework for few-shot cross-embodiment robotic transfer. It learns reusable action motifs—embodiment-agnostic spatiotemporal patterns—that enable efficient… See the full description on the dataset page: https://huggingface.co/datasets/Crossingz/ARX5_Piper_Few_shot_Example.