Repository
Open source
LeRobot · huggingface
LeRobot tools for robot control, datasets and end-to-end learning.
Robot learning frameworks
Models / Research
FOCA · cair-vinuni
FOCA studies future-oriented conditioning for data-efficient VLA adaptation.
Overview
FOCA studies future-oriented conditioning for data-efficient VLA adaptation.
Publisher summary: “Repository associated with paper titled "FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation", presented at ICML 2026.”
Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
Project information
- Maintainer
- cair-vinuni
- Primary language
- Python
- Repository code license
- Apache-2.0
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2026-07-01
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation — [ICML 2026](https://icml.cc/)
- Overview
- Table of Contents
- Installation
- 1. Clone the repository
- 2. Install core dependencies
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