#vla

Teach your real-world robots to play virtual games first, and use the right model for the...

Building Autonomous Robot Decision Systems with Vision-Language-Action Models A...

RT-2 Takes 847ms Per Action. OpenVLA? 1.2 Seconds. You've trained a vision-language-action...

What Changed In the rapidly evolving field of Vision-Language-Action (VLA) models, a...

What Changed The post-training phase for Vision-Language-Action (VLA) models has...

The Architecture Is Embarrassingly Simple Most robotics papers make VLA...

Tencent released RxBrain, an open ~6.2B robot model that interleaves text reasoning with generated goal images, betting that a robot needs an explicit picture of the world it is trying to build.

Robots need a different kind of model A chatbot's output is text. A robot's output is torque, grasp, and motion - actions that fail in the physical w

A new position paper from Motoniq (Stanford, ETH, IIT) argues that the entire robotics field is racing in the wrong direction — bigger VLAs and world models miss the real bottleneck. Full analysis, critique, and framework connection.

I. Autoregressive & Bidirectional Unified Generation DreamZero and Motus are the two...

Originally published at norvik.tech Introduction Explore the challenges in Variational...

Vision-Language-Action (VLA) models represent a paradigm shift from passive multimodal understanding...