Name: Embodied AI Robotics Programming
SKU: N/A

Embodied AI Robotics Programming

Course Overview

This course is designed to help you build practical skills in Embodied AI Robotics Programming, quadruped robot programming and embodied intelligence applications.

You will learn how to work with robot platforms, use ROS for development, process sensor data, and build intelligent applications such as object detection and autonomous navigation.

Through hands-on projects, you will develop real-world skills in perception, mapping, path planning, and system integration.

Why This Course?

1. Curriculum

Learn through real-world tasks that combine theory with hands-on practice

2. Organization

Designed in line with international technical standards

3. Faculty

Taught by both enterprise engineers and academic experts

4. Platform

Supports remote and flexible learning

5. Outcomes

Build practical, job-ready skills for robotics and AI roles

What You'll Be Able to Do?

This program is aligned with the full-lifecycle career requirements for embodied intelligent robots, covering full-process core capabilities from basic introduction to competition applications. By the end of the course, you will be able to:

1. Operate and Control Robot Platforms

Understand the software and hardware architecture and operation methods of intelligent quadruped robots
Master multiple control methods, including gamepad control and mobile APP control
Possess basic functional application capabilities, including obstacle avoidance, lighting control, gait adjustment, acrobatic movements, and voice interaction

2. Develop Intelligent Robot Applications

Master ROS fundamentals and the Python programming language
Implement obstacle avoidance, map building, and obstacle perception based on LiDAR
Master real-time multimedia stream data and image data acquisition based on HD cameras
Possess capabilities in YOLOv8 object detection, RTSP video stream processing, GRPC communication, and protobuf data structure application

3. Build Integrated Systems

Complete intelligent patrol comprehensive scenario development, achieving integrated environment perception mapping, autonomous path planning, object detection, and anomaly identification reporting, and voice interaction functionality
Master ROS2 RViz map display, robot position localization initialization, and cruise waypoint acquisition and configuration
Possess capabilities in navigation algorithm application, competition requirement function design, and implementation
Have engineering capabilities in code logic debugging, problem troubleshooting, and function optimization

What You Will Learn?

Training Skills	Description
1. Robot Platform Introduction	Learn how the robot platform works, including its hardware and software architecture. You will practice operating the robot using a gamepad and a mobile app. You will set up and use the basic development environment. You will also learn key technologies such as ROS, Python programming, and object detection. In addition, you will work with GRPC communication, protobuf data structures, and audio/video processing.
2. Basic Module Usage	Learn how to use and activate obstacle avoidance functions. You will control basic features such as lighting, gait, movement, and voice interaction. You will also practice basic programming and customization. Through guided exercises and demonstrations, you will quickly gain hands-on experience.
3. Obstacle Avoidance and Guided Tour Function Development	Learn how to build obstacle avoidance maps using sensor data. You will enable the robot to detect and avoid obstacles. You will also develop guided tour functions. This includes task assignment, voice prompts, and action control.
4. Multimedia Data Processing	Learn how to capture and process visual data using the robot’s built-in camera. You will work with real-time video streams and image data. These skills provide a foundation for building intelligent perception systems.
5. Intelligent Patrol Comprehensive Case Training	Learn how to build intelligent patrol systems through real-world scenarios. You will develop integrated solutions that combine multiple modules. This includes environment mapping, path planning, and object detection. You will also implement anomaly detection and voice interaction features.
6. Competition Function Solution Implementation	Learn how to use ROS2 tools such as RViz for map visualization and localization. You will initialize robot positioning and configure navigation waypoints. You will also implement functions such as voice prompts, task execution, and status monitoring using GRPC. You will work with video streams and apply object detection using YOLOv8. In addition, you will learn how to apply navigation algorithms in real-world scenarios.

Learning Environment

The course is complemented by a high-performance quadruped robot physical platform equipped with LiDAR, 4K HD cameras, touch sensors, and other perception modules, supporting multiple movements, including standing, jumping, and backflips.

Based on an open-source motion library, it provides a rich set of preset motions and secondary development interfaces, allowing students to directly invoke or custom-write control programs to quickly implement complex motion control and intelligent interaction functions, providing strong hardware support for competition applications and project development.

Learning Environment

Company Strength

At ECR Academy, we bring deep expertise to Embodied AI Robotics Programming education through proven global impact. Since 2010, we've trained nearly 500,000 participants across 29 countries, with over 300,000 earning recognized certifications. Our program is built on:

16 years of specialized experience in vocational training and skills development
A network of 3,300+ industry engineers and academic experts delivering real-world knowledge
Partnerships with 500+ leading enterprises ensuring curriculum alignment with market demands
Over 60,000 curated educational resources including skill standards, courseware, and assessment systems
Successful delivery of 150+ skills competitions engaging 30,000+ learners in practical challenges
Project-based learning approach combining theory with hands-on practice in the product
Open-source motion library platform supporting flexible cross-regional collaboration

We transform how you learn robotics—moving beyond static programming to agents that perceive and interact in physical environments, solving real industry challenges.

Company Strength

FAQ

Q: Can I take this course without prior experience?

A: Yes. The course starts with the basics and introduces the robot platform step by step. You will learn the hardware and software architecture, basic operations, and the development environment. The structured learning path makes it suitable for beginners with no prior experience.

Q: What career positions can I pursue after completing the course?

A: Upon completing the training, you can pursue roles such as:

Robot Algorithm Engineer / Embodied Intelligence Development Engineer
Quadruped Robot Application Development Engineer
Robot Vision Algorithm Engineer
Autonomous Navigation and Path Planning Engineer
Intelligent Patrol System Development Engineer
ROS Development Engineer
International Competition Instructor / Trainer

Q: What are the minimum computer configuration requirements for the course?

A: Platform configuration requirements

Operating System: Windows 10 or above
CPU: Intel Core i5 or above
Memory: 8GB or above
Hard Drive: 256GB or above
Graphics Card: Dedicated GPU, 4GB VRAM

Contact Us

Ready to build job-ready skills in Embodied AI Robotics Programming? Reach out to our team at ecr2008@enteredu.com to explore partnership opportunities and training solutions.