RT-Thread Virtualization Hybrid Deployment Robot Agent Training

Master Embedded Robotics with RT-Thread & ROS2 on Hybrid Systems

Duration: 3 Days | Level: Intermediate to Advanced

Delivery Mode: Hands-on Labs & Instructor-Led Sessions

Platform: RT-Thread Virtualization Hybrid Deployment Robot Agent (6+2 Core Architecture)

Course Overview

This intensive 3-day training equips engineers, developers, and robotics enthusiasts with end-to-end skills for deploying hybrid virtualization systems on embedded robotics platforms. Using RT-Thread certification as a bridge to support high-quality internship employment and RT-Thread University Program, participants will learn to:

• Master hardware fundamentals with 6+2 core architecture

• Build and deploy virtualization hybrid systems (Linux + RT-Thread on same hardware)

• Develop ROS2-based robotic applications with micro-ROS integration

• Implement SLAM, autonomous navigation, and obstacle avoidance

• Deploy small-scale LLM models for embodied AI agent applications

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Key Learning Outcomes

✔ Hardware & System Fundamentals: Understand 6+2 core architecture and virtualization hybrid deployment principles

✔ RT-Thread Development: Build, compile, and configure RT-Thread images and peripherals

✔ ROS2 Integration: Master ROS2 core concepts, nodes, topics, services, and actions

✔ Hybrid Deployment: Deploy Linux + RT-Thread on the same hardware platform with HyperBoot

✔ Robotics Applications: Implement SLAM mapping, autonomous navigation, and obstacle avoidance

✔ AI Integration: Train and deploy small-scale LLMs for embodied AI agents

Training Agenda

Day 1: Foundations & Environment Setup

• RT-Thread Introduction

  • Using RT-Thread certification as a bridge to support high-quality internship employment and RT-Thread University Program

  • Hardware introduction (6+2 core architecture)

  • Virtualization hybrid deployment principles

  • Firmware upgrade and system flashing hands-on practice

• RT-Thread Environment Setup & ROS Core Concepts

  • RT-Thread introduction and project structure

  • Hands-on practice: Compilation configuration and system building

• ROS2 Core Concepts

  • ROS overall architecture (Nodes, Topics, Services, Actions)

  • Workspace & Packages

  • Common ROS command-line tools (rosrun, roslaunch, rqt_graph, etc.)

  • Hands-on practice: ROS2 turtlesim simulation

Day 2: HyperBoot Environment & System Integration

• HyperBoot Environment Configuration

  • HyperBoot introduction

  • Development environment introduction

  • Hands-on practice: RT-Thread image compilation

  • HyperBoot compilation

  • Hybrid deployment system boot verification (Linux + RT-Thread on the same hardware platform)

• RT-Thread Peripheral Verification

  • RTT source code modification and compilation

  • Modifying RTT peripheral configuration

• System Communication & Integration

  • micro-ROS introduction

  • RViz introduction

  • Hands-on practice:

    • ROS2 & micro-ROS communication test (Publish/Subscribe)

    • micro-ROS & ROS2 bidirectional communication (pingpong experiment)

    • Sensor data acquisition (IMU, LiDAR) & RViz visualization

Day 3: Advanced Robotics & AI Applications

• Advanced Robotics Applications

  • SLAM algorithm introduction

  • Path planning & navigation introduction

  • Hands-on practice:

    • SLAM laser mapping

    • Autonomous navigation system

    • Waypoint navigation & obstacle avoidance hands-on

• Robot Agent Applications

  • Large Language Model (LLM) application introduction

  • Hands-on practice:

    • Small-scale LLM training

    • Small-scale LLM deployment

    • Embodied AI agent applications

    • Hands-on demo: After adding new peripherals, image compilation and generation

Day 4-5: Return Departure

Who Should Attend?

• Embedded AI & Robotics Engineers developing hybrid systems

• IoT Developers working on ROS-based robotics platforms

• Technical Teams evaluating RT-Thread virtualization solutions

• University Students and Researchers in robotics and embedded systems

• Professionals seeking RT-Thread certification for career advancement

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Why Choose This Training?

✅ Hands-on Labs: Work directly with RT-Thread Virtualization Hybrid Deployment Robot Agent hardware

✅ Industry-Driven Content: Focused on deployable robotics solutions with real-world applications

✅ Hybrid Systems Expertise: Learn Linux + RT-Thread deployment on the same hardware platform

✅ Comprehensive Curriculum: From hardware fundamentals to AI-powered robotics

✅ Certificate of Completion

✅ RT-Thread University Program Connection: Pathway to internship and employment opportunities

Prerequisites

• Basic understanding of embedded systems and Linux

• Familiarity with C/C++ programming

• Basic knowledge of robotics concepts (helpful but not required)

• No prior RT-Thread or ROS experience required (fundamentals covered)

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Hardware & Location

• Training Location: Shenzhen University

• Experimental Platform: RT-Thread Virtualization Hybrid Deployment Robot Agent (6+2 Core Architecture)

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Additional Notes

• Training includes comprehensive hands-on practice with real hardware

• RT-Thread certification pathway available for qualified participants

• All firmware and development tools provided during training

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