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X VLA · 2toinf

X-VLA studies soft-prompted transformers for cross-embodiment vision-language-action learning.

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Publisher repository ↗
X VLA · 2toinf resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

X-VLA studies soft-prompted transformers for cross-embodiment vision-language-action learning.

Publisher summary: “[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"”

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
2toinf
Primary language
C++
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
2026-06-10

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • 🤖 X-VLA: Soft-Prompted Transformer as a Scalable Cross-Embodiment Vision-Language-Action Model
  • 🏆 Highlights & News
  • 🎉 Exciting News: X-VLA Accepted to ICLR 2026
  • 🚀 Now Supported in LeRobot
  • 🥇 Champion Winner at IROS 2025
  • 🧩 Overview

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Models / Vision-language-action ↗

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