RESEARCH PAPERYear 2026

AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving

Wenhui Huang; Songyan Zhang; Qihang Huang; Zhidong Wang; Zhiqi Mao; Collister Chua; Zhan Chen; Long Chen; Chen Lv

Read paper PDF Code Project page

Classification

View four quadrants

Major category: VLA
Quadrant: Not applicable
Architecture: Dual-system
Prediction paradigm: Not applicable
Subcategories: Hierarchical & dual-system VLA
Source review status: Verified from primary sources

AT A GLANCE

Contribution

A contribution summary has not been added yet.

Abstract

An abstract has not been added yet.

Affiliations

Not listed in the collection.

BibTeX

@inproceedings{
automot,
title={AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture -of-Transformers for End-to-End Autonomous Driving},
author={Wenhui Huang and Songyan Zhang and Qihang Huang and Zhidong Wang and Zhiqi Mao and Collister Chua and Zhan Chen and Long Chen and Chen Lv},
booktitle={ICML},
year={2026},

}

Classification

Contribution

Abstract

Affiliations

BibTeX

More in this category

Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models

What Matters for Latent Actions in Robot Learning

SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot Manipulation