physical-ai

Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

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

A programmable and highly maneuverable robotic cat for STEM education and AI-enhanced services.

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

IoT DC3 — Connect the Physical World to AI. An open-source Industrial IoT Runtime for Physical AI: 36 protocol drivers, edge-to-cloud data delivery, and an MCP tool gateway so AI agents act on devices in a safe, controllable, traceable loop.

Mosaico - The data platform for Physical AI

Open source evals for physical AI. Run any LLM/VLA on any arm/humanoid against any real/sim benchmark.

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.

An ESP32-based open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

The open-source operating system for physical AI.

Best practices, reference architectures, and examples for distributed AI training and inference on AWS.

Robotics vision SDK

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.

A curated list of research and projects on world models