physical-ai

Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.

NVIDIA Alpamayo 1 Nano is an open 10B reasoning VLA model for autonomous vehicles that pairs driving trajectories with Chain-of-Causation reasoning.

Copper is an operating system for robots - build, run, and replay your entire robot deterministically.

Kubernetes-native IoT gateway

AlpaSim is an open-source autonomous vehicle simulation platform designed for development and testing of end-to-end AV policies

Mosaico - The data platform for Physical AI

RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.

Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.

A curated list of academic papers and resources on Physical AI — focusing on Vision-Language-Action (VLA) models, world models, embodied ai, and robotic foundation models.

Devkit and documentation for the NVIDIA Physical AI Autonomous Vehicles Dataset

NVIDIA Alpamayo 1.5 Nano is an open 10B reasoning VLA model for autonomous vehicles with reinforcement-learning enhanced reasoning, navigation guidance, and visual question answering.

🦾 Runtime for Physical AI. Connect streams. Detect events. Control your world.

Open-source MAVLink fleet operations for PX4: SITL, drone shows, search and rescue, cooperative autonomy, and field validation

CLI for Physical AI Specialization

A curated list of research and projects on world models

Curated embodied AI list: surveys, VLA models, datasets, simulators, humanoids, robot learning, and safety resources.

A C and Python library for physically accurate, real-time, sensor simulation and visualization using NVIDIA Omniverse RTX

NVIDIA Alpamayo 2 Super is an open 34B multi-task foundation model designed to supercharge autonomous vehicle development.

The open-source operating system for robots — install it and your robot comes alive

Self-evolving runtime infrastructure for Physical AI and embodied agents. Ground AI agents into robot bodies with e-URDF, sandbox safety, capability routing, praxis capture, physical memory, runtime intervention, and skill evolution.