Physical AI

Nvidia expands Cosmos platform with tools to train and deploy world models

Original titleNVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models

Outlet: NVIDIA Blog
Published: Oct 22, 2026
Importance: 4/5

Summary

Nvidia expanded the Cosmos platform with new training tools, simulation checkpoints, and Cosmos Data Factory blueprints to help developers build world models for physical AI systems. Cosmos models rank in the top five on six different open-model leaderboards.

Original excerpt

To help developers rapidly build world models, which help physical AI systems understand and simulate the real world, NVIDIA has expanded the Cosmos platform with new training tools, simulation checkpoints and Cosmos Data Factory blueprints. Ranking top five on six different open models leaderboards, the NVIDIA Cosmos platform gives world model builders the frontier open […]

#nvidia#cosmos#world-model

Read the original

See all →

Oct 31

Foundry Robotics raises $100 million Series A for autonomous assembly factories

Foundry Robotics announced an oversubscribed $100 million Series A funding round led by Marlinspike Partners. The round includes participation from early backers Khosla Ventures and Red Glass Ventures, alongside new investors SE Ventures, Wing VC, and Axiom Ventures.

Robotics & Automation News

Nov 2

Meta partners with Fourier on humanoid robot for household tasks

Meta and Chinese robotics startup Fourier jointly developed humanoid robot prototype Max, a 48-kilogram robot completed in three months. The companies are working on a successor model, targeting the household robotics market for housekeeping and daily tasks.

AI Times

Nov 4

NEO-VLA, an encoder-free vision-language-action framework for robotic manipulation

The authors propose NEO-VLA, an encoder-free vision-language-action framework where images are tokenized and evolve jointly with language throughout the backbone. They show that this approach outperforms encoder-based counterparts across diverse manipulation tasks and distribution shifts.

Hugging FaceTrending 27

Oct 27

PDRVLA integrates physical dynamics into robot vision-language-action models

PDRVLA, a vision-language-action model with a lightweight physical dynamics module, generates robot actions from visual input and language instructions. It learns from public data augmented with human-to-robot synthesis and embodied chain-of-thought annotation, achieving 99.3% success on LIBERO and up to 93.6% on RoboTwin 2.0.

Hugging Face +1 moreTrending 25