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Models / Research

HiMoE VLA · ZhiyingDu

HiMoE-VLA studies hierarchical mixture-of-experts policies for vision-language-action learning.

mixture-of-expertsroboticsvision-language-action-model
Publisher repository ↗
HiMoE VLA · ZhiyingDu resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

HiMoE-VLA studies hierarchical mixture-of-experts policies for vision-language-action learning.

Publisher summary: “Official repo for paper "HiMoE-VLA: Hierarchical Mixture-of-Experts for Generalist Vision-Language-Action Policies"”

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
ZhiyingDu
Primary language
Python
Repository code license
MIT
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
2026-09-05

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

Documentation sections

  • ✅ To-Do List
  • 🔑 Installation
  • If you've already cloned the project, you can fetch the submodules with:
  • 🤖 Model Checkpoints
  • 🏋️‍♂️ Training
  • Preparing data

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