RESEARCH PAPERYear 2024

Vision-Language Foundation Models as Effective Robot Imitators

Xinghang Li; Minghuan Liu; Hanbo Zhang; Cunjun Yu; Jie Xu; Hongtao Wu; Chilam Cheang; Ya Jing; Weinan Zhang; Huaping Liu; Hang Li; Tao Kong

Read paper PDF

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{li2023vision,
  author       = {Xinghang Li and
                  Minghuan Liu and
                  Hanbo Zhang and
                  Cunjun Yu and
                  Jie Xu and
                  Hongtao Wu and
                  Chilam Cheang and
                  Ya Jing and
                  Weinan Zhang and
                  Huaping Liu and
                  Hang Li and
                  Tao Kong},
  title        = {Vision-Language Foundation Models as Effective Robot Imitators},
  booktitle    = {ICLR},
  year         = {2024},

}

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