Robotics AI Suite

Edge AI Suites are collections of open, industry-specific AI software development kits (SDKs), microservices, and sample applications for independent software vendors (ISVs), system integrators and solution builders.

The Robotic AI Suite brings Physical AI to life—enabling robots that see, move, and decide at the edge. Built on a unified Intel platform, the Suite combines modular tools for vision, control, and AI inference, accelerating integration and deployment.

• Autonomous Mobile Robot: develop, train, and deploy AI models, for example, a robot to recognize text on boxes and take actions accordingly.

• Stationary Robot Vision & Control: enable robots to see and act physically based on what they see in their environment.

• Humanoid - Imitation Learning: enable robots to learn and improve their performance over time, for example, by increasing efficiency and avoiding physical obstacles.

Quick Start Demo Video

Intel Robotics AI Suite supports deployment across a range of Intel platforms, including Intel® NUCs, desktops, and robotics kits (see system requirements). After installing Ubuntu, developers can use the Express Setup script from the Getting Started Guide to quickly install and configure the software stack, as demonstrated in the video below:

Explore Intel Robotics Ecosystem

Scale Enablement - Robotics Builders Community | Intel(R) Industry Solution Builders

Explore robotics Scale Enablement and discover how Intel’s ecosystem and experts help accelerate robotics solutions from design to deployment.

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Reference Pipelines

Autonomous Mobile Robot: Wandering

Software packages and pre-validated hardware modules for sensor data ingestion, classification and environment modeling.

./edge-ai-suites/robotics-ai-suite/robotics/dev_guide/tutorials_amr/navigation/wandering_app/index.html

Stationary Robot Vision & Control

Robotic software framework aimed at tackling industrial problems.

./edge-ai-suites/robotics-ai-suite/rvc/getstarted.html

Humanoid - Imitation Learning: ACT Sample

Software stack designed to streamline the development process of Embodied Intelligence.

./edge-ai-suites/robotics-ai-suite/embodied/sample_pipelines/imitation_learning_act.html

Physical AI

Physical AI Framework

Runtime package to deploy robot policies.

https://github.com/openvinotoolkit/physicalai

Physical AI Studio

VLA model fine-tuning for robotics.

https://github.com/open-edge-platform/physical-ai-studio

Optimized AI Models for Robotics use

LLM Robotics Demo

Code-generation pipeline for Robotics.

./edge-ai-suites/robotics-ai-suite/embodied/sample_pipelines/llm_robotics.html

Plug-in ready accelerated libraries for critical robotics workloads

FastMapping Algorithm

Intel-optimized version of octomap.

./edge-ai-suites/robotics-ai-suite/robotics/dev_guide/tutorials_amr/navigation/run-fastmapping-algorithm.html

ADBSCAN Algorithm

Highly adaptive and scalable object detection and localization algorithm.

./edge-ai-suites/robotics-ai-suite/robotics/dev_guide/tutorials_amr/navigation/adbscan/index.html

ITS Planner

Global path planner algorithm and application plugin module.

./edge-ai-suites/robotics-ai-suite/robotics/dev_guide/tutorials_amr/navigation/its-path-planner-plugin.html

Robotics control recipes

Real-Time Linux OS

Real-time Linux optimization.

./edge-ai-suites/robotics-ai-suite/embodied/installation_setup/installation/rt_linux.html

EtherCAT

Master stack for system automation in open source projects.

./edge-ai-libraries/ethercat/README.html