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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "ebce2656-7e42-40b8-b77b-1231a417a126",
+ "metadata": {},
+ "source": [
+ "# Intelยฎ Robotics advancing physical AI development and deployment"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "fa0b45c8-aa83-42dc-9f1b-085e0090f351",
+ "metadata": {},
+ "source": [
+ "### A high level workflow for imitation learning"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f25d4967-937c-4dac-88fa-2c783e6b7a74",
+ "metadata": {},
+ "source": [
+ "
![](\"media/full-flow2.png\")
\n"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "id": "105a72ac-74f2-4ef6-9fef-3e8209dc78a2",
+ "metadata": {},
+ "source": [
+ "### 1) Recommended option: run everything using the Physical AI Studio from Intel's Open Edge Platform\n",
+ "
![](\"media/1.)
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "47cf6aac-83b1-4e39-943c-a888e5dbaf28",
+ "metadata": {
+ "jp-MarkdownHeadingCollapsed": true
+ },
+ "source": [
+ "* Perform all the workflow using the UI, \n",
+ "* Export a full deployment package for your target system\n",
+ "
[Open Notebook](002_Using_Physical_AI_Studio.ipynb)\n",
+ "
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b05d0136-7115-4382-bb0f-87b5706f6e07",
+ "metadata": {},
+ "source": [
+ "### 2) Use Physical AI Studio to train and optimize a model, then deploy it using OpenVINO Physical AI API\n"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "id": "6b44346a-0f45-47bb-8abc-02e60c4cfac3",
+ "metadata": {},
+ "source": [
+ "![](\"media/2.)
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8da570f0-ca23-49be-a917-baeaec8d8b68",
+ "metadata": {},
+ "source": [
+ "* Export the OpenVINO optimized model trained with Physical AI Studio or optimize and convert a model trained with LeRobot\n",
+ "* Use the OpenVINO Physical AI API for inference on your target system\n",
+ "[Open Notebook](003_OpenVINO_Optimization.ipynb)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ffd0be1b-099c-42cf-b7bf-be144c896724",
+ "metadata": {},
+ "source": [
+ "###
3) Collect dataset using Physical AI Studio, train on a remote machine, and use OpenVINO Physical AI For Inference
\n"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "id": "9b5ba9e1-6474-4bb9-b130-32062b450e84",
+ "metadata": {},
+ "source": [
+ "![](\"media/3.Remote-Training.png\")
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d32d07f8-563b-41aa-a959-696fe1dfc826",
+ "metadata": {},
+ "source": [
+ "* Export the dataset from Physical AI Studio \n",
+ "* Train on a remote machine using Physical AI Studio library or LeRobot\n",
+ "* Export the model to your target system\n",
+ "* Deploy using OpenVINO Physical AI runtime API\n",
+ "(*To be added*)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "65a0b021-2595-4c65-82c7-095bf898b096",
+ "metadata": {},
+ "source": [
+ "###
4) Simulation only (without physical robot)
\n"
+ ]
+ },
+ {
+ "attachments": {},
+ "cell_type": "markdown",
+ "id": "1e5c3f84-aa39-4f42-91c2-2cd2622e37bb",
+ "metadata": {},
+ "source": [
+ "![](\"media/4.Simulation-only.png\")
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "fa23ee25-c5b9-4a59-a63b-08f2f24dc2a9",
+ "metadata": {},
+ "source": [
+ "* Export the dataset from Physical AI Studio, LeRobot, or just download from HuggingFace\n",
+ "* Infer the a trained model (policy) using OpenVINO Physical AI API and compare the motors position to one of the episodes \n",
+ "
+ 