OpenVINO™ toolkit: An open source AI toolkit that makes it easier to write once, deploy anywhere.
OpenVINO™ Physical AI
Deploy Production-Grade Physical AI — with less friction
OpenVINO™ Physical AI is an open-source robotics deployment framework that provides a unified API for integrating cameras, sensors, AI models, and robotic actions. It simplifies deployment complexity and extends hardware-accelerated OpenVINO inference to physical AI applications, enabling developers to efficiently deploy robot policies and vision-language-action (VLA) models while accelerating the delivery of production-ready solutions on Intel platforms.
Standardize Deployment
A single, unified interface for multiple VLA models, with architecture selection via a single parameter. Physical AI Studio integration offers Intel-optimized, pre-validated VLA models, and LeRobot integration enables seamless model export and deployment with PyTorch or OpenVINO.
Maximize Performance
Optimized OpenVINO inference delivers hardware acceleration and heterogeneous execution across CPU, GPU, and NPU, enabling advanced performance on Intel® Core™ Ultra Series 3 and Intel® Core™ Series 3 processors with integrated AI acceleration for control and perception.
Reliable at Scale
Eliminate motion jitter and stop-and-start execution that slows throughput and causes task failures in production. With Asynchronous and Real-Time Chunking (RTC) inference, tighten control loops, and slash inference latency — so your robots perform reliably when it matters most.
Security-first Architecture
Safety-first by design, with future-ready hooks to enforce action limits, trigger emergency stops, and guard against unpredictable behavior and hardware damage in unexpected edge cases.
OpenVINO™ Physical AI Advantages
Standardized robotics deployment - Use a single, consistent API to connect cameras, robots, and safety controls, instead of maintaining fragile, one-off deployment harnesses that slow down releases.
Common Interface for Physical AI models - Run and swap multiple model architectures (like ACT, SmolVLA, and PI0.5) through a single parameter, so you can upgrade policies or experiment with new models without rewriting application code. Built-in support for vision and multimodal policies and pipelines that enables developers to easily swap modules.
Physical AI Studio Integration - Physical AI Studio integration for developing and fine-tuning VLA models for Intel platforms, with an intuitive user interface that non-experts can use.
LeRobot integration - Export LeRobot models and deploy them on Intel hardware using PyTorch or OpenVINO, keeping your robot learning, evaluation, and production pipelines aligned end-to-end.
Security and safety-first architecture design — with future-ready hooks for action clamps and emergency stops, guarding against hardware damage, unstable control, and unsafe movements caused by model errors or unexpected inputs.
High-Performance Hardware-accelerated robotics - OpenVINO optimized inference delivers the best performance on Intel® Core™ Ultra Series 3 and Intel® Core™ Series 3 processors with integrated AI acceleration for control and AI perception, plus hooks to tap into additional runtimes like ONNX.
Heterogeneous execution across accelerators - Let the system schedule workloads across the Intel® SoC's built-in CPU, GPU, and NPU, so you avoid manually managing device placement, memory transfers, and utilization tuning.
Asynchronous and real-time action chunking for tight control loops - Use async APIs and real-time chunked inference to keep robot control loops responsive and jitter-free, even when running large VLA models.
Plug-and-play support for cameras and robots - Bring up robots and sensors quickly with built‑in support for popular cameras and robot platforms, minimizing boilerplate and speeding up deployment. You can also bring your own camera, robot hardware, or both for custom deployments.
Get Started
Explore everything you need to get up and running—from step-by-step documentation and release notes to hands-on code samples and expert blogs.
Ready-to-Deploy
Connect effortlessly to popular cameras and robots.
RealSense Cameras
Trossen Robots
D3 Cameras
SO-101 Robot Arm
Learn more about the Robotics AI Suite, Intel’s open-source software stack that provides SLAM, robot vision and control libraries, ROS 2 integration, reference applications, and VLM/VLA models tuned for real-time Physical AI on Intel® Core™ Ultra processors.
Discover how Intel’s robotics portfolio powers tomorrow’s intelligent machines through open software, breakthrough silicon, and a global ecosystem that turns Physical AI into reality.
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