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The Open Platform for Intelligent Robots

Explore the Robotics AI suite
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Montage of robotics applications with a blue gradient
Montage of robotics applications with a blue gradient
Montage of robotics applications with a blue gradient

Robots that perceive, reason, and act in the real world come to life on Intel Robotics

An open, scalable foundation for streamlining, deploying, and scaling intelligent, real-time machines in motion.​

Real-time motion control and AI inference on a single platform

With a unified all-in-one architecture, you get deterministic control loops, synchronized sensing and fast multimodal AI for a better overall TCO.

Front view of Intel Core Ultra processor (Series 3) with built-in Arc GPU

Run motion and AI together, not apart

Intel® Time Coordinated Computing enables platform-level real-time support to reduce latency and jitter, while supporting physical AI at the edge.

Do more with fewer boards

Integrating CPU, GPU, and NPU on a single architecture lowers BOM costs, power requirements and integration efforts for efficiency and scale.

Coordinate every sensor and cycle

Using synchronized sensing and deterministic control loops keeps cameras, LiDAR, and actuators in lockstep, improving safety, accuracy and surface quality.

Silicon Built for Motion

Run vision, language, media, and real-time motion control together on one rugged Intel architecture with integrated AI acceleration for predictable timing, smoother motion, and lower system complexity.

Robotics-ready Physical AI

Deploy multimodal and agentic AI models with low-latency and consistent real-time behavior for predictable robot actions faster, with less customization, and easier portability.

Open + Flexible Development

Build on the open source widely adopted ROS 2 with the latest performance optimizations already upstreamed, to reuse code across robots instead of starting from scratch, every time. 

Ecosystem Enablement

Start from pre-validated Intel reference boards, dev kits, and sensors tuned for edge robotics to shorten time-to-value with best-known configurations.

Intel® Core™ Ultra Series 3

Intel® Core™ Ultra Processors for Physical AI and video analytics workloads

Intel® Core™ Ultra Processor Unleveled Badge with flat/floating/grounded options. Floating and Grounded badges have glow and shadow options available for on dark and on light use. Available for digital or print use.

OpenVINO™ Physical AI

50%

Faster performance on medium sized VLA using Intel® Core™ Ultra X7 processor 358H vs Nvidia Jetson Orin AGX (64GB)1

Video analytics workloads

2.2x

Better performance per dollar running end-to-end workloads using Intel® Core™ Ultra X7 processor 358H vs. NVIDIA Jetson Orin AGX (64GB)2

Powering robots in the real world

The next era of intelligent computing is not sitting at a desk — it is moving through factories, warehouses, hospitals, and public spaces.

Manufacturing

Robots weld, assemble, and detect anomalies with high precision to boost throughput and quality while offsetting skilled labor gaps on the line.

Car Factory 3D Concept: Automated Robot Arm Assembly Line Manufacturing High-Tech Green Energy Electric Vehicles. Construction, Building, Welding Industrial Production Conveyor. Elevated Wide Shot

Logistics

Mapping dynamic spaces with spatial intelligence enables real-time wayfinding, to cut picking errors with fewer safety incidents and delays.

Health and Life Sciences

Assisting in surgeries, cleaning and supply delivery, robots with built-in functional safety controls help deliver accurate, timely care.

Retail and Hospitality

From restocking inventory to answering questions, retail robots keep products available and deliver fast customer service.

Build with Intel

Start Building on Intel’s Open Robotics platform

Intel empowers robot builders with tools, reference platforms, software, and systems to move from experiments to production fleets faster so robot builders can spend more time planning robot behavior instead of building plumbing.

Explore the Robotics AI suite

Robotics Portfolio

Train, develop, and deploy Physical AI on one Intel Robotics stack

Use Intel’s ROS-optimized stack and Physical AI tools to build and productize robotics workloads ​
across a variety of environments and form factors.

What robot builders are saying about OpenVINO™ Physical AI

"We at Trossen Robotics rely on flexible and fast AI inference across concurrent multimodal pipelines consuming sensor data to drive the WidowX AI robotics arms we sell worldwide. The Intel(R) Robotics software stack, including their Robotics AI Suite and their OpenVINO™ Physical AI Framework, simplifies enabling and deploying high-performance and cost-effective robotic systems. It makes implementing state-of-the-art open-source policies and connecting to a range of cameras much easier. Combined with the latest Intel® Core™ Ultra Series 3 processors, this gives the industry an exciting new solution to lower overall robotics costs and create a repeatable, scalable deployment path."

 

- Luke Schmitt, Lead Software Developer , Trossen Robotics

FAQ

You can run real-time control and AI together on a single robot compute by using Intel® Robotics with Intel® Time Coordinated Computing (Intel® TCC), which keeps sensor‑actuator control loops deterministic even as AI workloads run concurrently.

Intel® Core™ Ultra Series 3 processors integrate CPU, GPU, and NPU on one platform, allowing control, perception, and Physical AI policies to run together instead of across multiple systems. The OpenVINO™ Physical AI Framework then deploys perception and policy models with predictable execution behavior, helping keep latency and jitter within bounds as intelligence scales.

Intel® Robotics lowers total cost of ownership by enabling a single x86‑based platform for real-time control, AI inference, and system workloads, reducing the need for multiple compute boxes, proprietary accelerators, and custom integrations.

By standardizing on Intel® Core™ Ultra Series 3 processors, robotics programs benefit from higher performance per watt, simpler thermal design, and fewer system redesigns over a robot’s lifecycle. This consolidation helps reduce power consumption, system complexity, and long‑term maintenance costs.

You can design a maintainable, safety‑ready robotics software stack by using the OpenVINO™ Physical AI Framework on Intel® Robotics platforms, which standardizes how perception and policy models are deployed into real‑time control loops.

This structured runtime cleanly connects cameras, sensors, AI models, and robot actions while preserving predictable timing behavior. Combined with Intel® Robotics’ optimized ROS 2 controls layer, Intel® TCC, and Intel® Core™ / Core™ Ultra Series 3 processors, this architecture supports consistent validation, predictable behavior, and scalable, safety‑ready deployments as robots grow in complexity.

Footnotes and Disclaimers

Individual system results may vary as power and performance are affected by use, configuration and other factors. Details at intel.com/performanceindex.​

Performance varies by use, configuration, and other factors. ​

 

1 As estimated by running Physical Intelligence’s OpenPi pi0.5 Vision-Language-Action (VLA) foundation model on Intel® Core™ Ultra X7 358H processor and NVIDIA Jetson Orin™ AGX 64GB running OpenPi (pi0.5) VLA workload with Droid Latency, 3 Cameras, at FP16, on TensorRT and OpenVINO™. Details at intel.com/performanceindex.


2 As estimated by running medium end-to-end video analytics workload with BS=8 on Intel® Core™ Ultra X7 358H processor vs. NVIDIA Jetson Orin™ AGX 64GB. Individual system results may vary as power and performance are affected by use, configuration and other factors. Details at intel.com/performanceindex.