Cosmos
Aug 04, 2026
Beyond VLAs: How World Action Models Reshape Robot Manipulation
A central challenge in robotics is building policies that generalize beyond the demonstrations they’re trained on. A policy that succeeds in a training scene...
7 MIN READ
Aug 04, 2026
Generate Trajectories, Reasoning Traces, and Auto-Labels with NVIDIA Alpamayo 2 Super
Autonomous vehicle (AV) development often relies on separate models for trajectory generation, high-level intent prediction, scene understanding, and data...
13 MIN READ
Jul 28, 2026
Developing Healthcare Robotics with GPU-Native Medical Physics Simulation
Unlike autonomous driving or industrial robotics, healthcare robotics can’t rely on internet-scale data collection or unlimited real-world experimentation....
12 MIN READ
Jul 14, 2026
Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills
What if autonomous coding AI agents could push your vision reasoning models above 90% accuracy with almost no manual effort? When adapting vision reasoning...
13 MIN READ
Jul 11, 2026
How to Evaluate General-Purpose Robot Policies for Real-World Deployment
Robotics foundation models have made remarkable progress. Today's best systems can follow natural language instructions to pick, place, sort, and manipulate a...
15 MIN READ
May 31, 2026
How to Post-Train Autonomous Vehicle Models in Closed-Loop with NVIDIA Alpamayo
Developing autonomous vehicle (AV) policies requires bridging an important gap between training and deployment. Vision-language-action (VLA) models that can...
9 MIN READ
May 31, 2026
Develop Physical AI Reasoning, World, and Action Models with NVIDIA Cosmos 3
Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what's...
13 MIN READ
Mar 16, 2026
Using Simulation to Build Robotic Systems for Hospital Automation
Healthcare faces a structural demand–capacity crisis: a projected global shortfall of ~10 million clinicians by 2030, billions of diagnostic exams annually...
9 MIN READ
Mar 13, 2026
Scale Synthetic Data and Physical AI Reasoning with NVIDIA Cosmos World Foundation Models
The next generation of AI-driven robots like humanoids and autonomous vehicles depends on high-fidelity, physics-aware training data. Without diverse and...
8 MIN READ
Mar 12, 2026
Build Next-Gen Physical AI with Edge‑First LLMs for Autonomous Vehicles and Robotics
Physical AI is rapidly evolving, from next-generation software-defined autonomous vehicles (AVs) to humanoid robots. The challenge is no longer how to run a...
7 MIN READ
Feb 10, 2026
R²D²: Scaling Multimodal Robot Learning with NVIDIA Isaac Lab
Building robust, intelligent robots requires testing them in complex environments. However, gathering data in the physical world is expensive, slow, and often...
9 MIN READ
Jan 08, 2026
Building Generalist Humanoid Capabilities with NVIDIA Isaac GR00T N1.6 Using a Sim-to-Real Workflow
To make humanoid robots useful, they need cognition and loco-manipulation that span perception, planning, and whole-body control in dynamic environments. ...
8 MIN READ
Dec 16, 2025
Optimizing Semiconductor Defect Classification with Generative AI and Vision Foundation Models
In the heart of every modern electronic device lies a silicon chip, built through a manufacturing process so precise that even a microscopic defect can...
12 MIN READ
Dec 12, 2025
R²D²: Improving Robot Manipulation with Simulation and Language Models
Robot manipulation systems struggle with changing objects, lighting, and contact dynamics when they move into dynamic real-world environments. On top of this,...
9 MIN READ
Dec 01, 2025
How to Scale Data Generation for Physical AI with the NVIDIA Cosmos Cookbook
Building powerful physical AI models requires diverse, controllable, and physically-grounded data at scale. Collecting large-scale, diverse real-world datasets...
9 MIN READ
Nov 10, 2025
Upcoming Livestream: Build Visual AI Agents with NVIDIA Cosmos Reason and Metropolis
On November 18, learn how to fine-tune the NVIDIA Cosmos Reason VLM with your own data to create visual AI agents.
1 MIN READ