Name: Intelligent Robotics Technology
SKU: N/A

Intelligent Robotics Technology

Course Overview

This program focuses on Intelligent Robotics Technology and is designed for the application and maintenance of industrial robots, service robots, special-purpose robots, and other intelligent equipment. It uses an integrated curriculum covering intelligent sensors, programming, machine vision, embedded systems, robot operating systems, collaborative robots, mobile robots, and system integration.

Using virtual simulation as a practical learning environment, the program connects theory with hands-on training. The theoretical component covers engineering drawing, fundamentals of mechanical design, electrical and electronic technology, motor and electrical control, programmable control, and fundamentals of artificial intelligence. Practical training covers intelligent sensor selection and debugging, advanced programming language development, intelligent vision system applications, embedded development and robot operating system deployment, collaborative robot programming and operation, autonomous mobile robot navigation and control, and intelligent robot system integration and joint debugging.

Through systematic learning, learners develop full-stack technical capabilities for intelligent robots and can prepare for roles in intelligent equipment selection and commissioning, robot body assembly and adjustment, interaction technology application scenarios, integrated application and programming, operation and maintenance, information security management, and robot system integration.

Why This Course?

1. Curriculum

Combines theory with hands-on practice and project-based learning to support practical application.

2. Organization

Aligned with smart manufacturing industry standards and designed to develop interdisciplinary technical skills.

3. Faculty

Delivered jointly by enterprise engineers and academic instructors.

4. Platform

Supported by an integrated virtual simulation platform covering intelligent sensors, programming development, vision applications, embedded systems and robot operating systems, collaborative robots, mobile robots, and system integration.

5. Career Pathways

Covers full-chain roles in intelligent robot equipment selection, assembly and debugging, integration, operation, and maintenance.

What You Will Be Able to Do?

This program is aligned with core skill requirements in the intelligent robot industry and covers the full workflow from sensor selection to system integration.

1. Intelligent Sensor Selection and Debugging

Understand industrial sensors, vision sensors, force sensors, position sensors, and selection principles.
Complete sensor installation, debugging, calibration, and communication configuration.
Select and optimize sensor solutions according to application scenarios.

2. Advanced Programming Language Development

Use mainstream programming languages such as Python and C++.
Develop robot control programs, algorithm implementations, and data processing applications.
Debug robot application functions using programming languages.

3. Intelligent Vision System Application

Understand machine vision principles, image processing algorithms, and deep learning models.
Complete vision calibration, target detection, defect inspection, positioning, and guidance applications.
Build, deploy, and debug vision systems for robotic applications.

4. Embedded Development and Robot Operating System Deployment

Understand embedded hardware architecture, microcontroller programming, and real-time operating systems.
Deploy ROS/ROS2, develop applications, and configure node communication.
Complete embedded robot system design and system integration tasks.

5. Collaborative Robot Programming and Operation

Understand collaborative robot structures, safety requirements, and programming methods.
Complete teach programming, offline programming, and task configuration for collaborative robots.
Build application scenarios and debug human-robot collaborative tasks.

6. Autonomous Mobile Robot Navigation and Control

Understand mobile robot kinematics, localization algorithms, and path planning algorithms.
Apply SLAM, navigation and obstacle avoidance, and multi-robot collaboration methods.
Deploy, debug, and configure tasks for autonomous mobile robots.

7. Intelligent Robot System Integration

Apply robot system integration principles, process planning, and joint debugging methods.
Configure communication between robots and peripheral equipment, complete software integration, and verify system functions.
Complete overall integration and optimization of intelligent robot application systems.

What You Will Learn?

Training Skill	Content Description
1. Intelligent Sensor Selection and Debugging	Complete selection analysis, installation, debugging, and calibration for industrial sensors, vision sensors, force sensors, and position sensors. Learn sensor communication protocol configuration such as Modbus, Profinet, and Ethernet/IP, signal acquisition and processing, and data fusion technologies.
2. Advanced Python Programming Development	Study Python fundamentals, object-oriented programming, data structures and algorithms, file operations, database connection, and third-party libraries such as NumPy, Pandas, and OpenCV. Develop robot control programs, automation scripts, and data processing and analysis applications.
3. C++ Embedded Development	Study C++ core syntax, object-oriented design, STL, memory management, and concurrent programming. Learn embedded development environment setup, low-level driver development, and performance optimization for robot controllers and embedded systems.
4. Intelligent Vision Technology Application	Build machine vision systems and practice camera calibration, image preprocessing, feature extraction, target detection and recognition, defect inspection, positioning, and guidance. Use OpenCV and deep learning frameworks such as TensorFlow and PyTorch.
5. Embedded Systems and ROS (Robot Operating System)	Build embedded hardware platforms, program microcontrollers, and deploy real-time operating systems such as FreeRTOS and other real-time operating systems. Learn ROS/ROS2 architecture, topic and service communication, navigation stacks, robotic arm control, and simulation environment setup.
6. Collaborative Robot Technology Application	Complete collaborative robot safety configuration, teach programming, offline programming, collision detection settings, force control applications, and human-robot collaboration task configuration. Integrate collaborative robots with end effectors, vision sensors, and force sensors.
7. Autonomous Mobile Robot Technology	Study SLAM principles, LiDAR SLAM, vision SLAM, path planning, navigation and obstacle avoidance, and multi-robot collaborative control. Configure mobile robot localization, mapping, and task scheduling systems.
8. Intelligent Robot System Integration	Configure robot-to-PLC communication, integrate robots with vision systems and MES systems, plan process workflows, and complete system joint debugging and testing. Learn industrial robot system integration standards, electrical control system design, and on-site commissioning methods.
9. Programmable Control Technology Application	Configure PLC hardware, use programming software, and develop ladder logic and structured text programs. Practice communication configuration, including industrial Ethernet and fieldbus, robot-PLC collaborative control logic, and automated production line integration.
10. Motor and Electrical Control Technology	Study motor principles, drive circuit design, inverter parameter configuration, servo system debugging, electrical control wiring, and troubleshooting. Learn motor selection, power matching, and drive control technologies.
11. Fundamentals of Artificial Intelligence Technology	Study machine learning algorithms, neural network fundamentals, deep learning model training, model deployment, and optimization. Use the TensorFlow/PyTorch frameworks and learn edge computing deployment for AI-enabled robotics applications.

Learning Platform

The platform builds a complete technical workflow from sensor selection to system integration.

The intelligent sensor platform focuses on sensor selection, installation, calibration, and debugging.

The programming development platform supports Python, C++, and related advanced language development and debugging.

The vision application platform covers image acquisition, image processing, and algorithm deployment.

The embedded system and robot operating system platform provides ROS/ROS2 simulation and physical robot development environments.

The collaborative robot platform simulates safe collaboration, human-robot interaction, and task configuration scenarios.

The mobile robot platform supports SLAM navigation, path planning, and multi-robot collaboration training.

The system integration platform supports communication between robots and peripheral equipment, software integration, and joint system debugging.

Together, the platforms form an integrated technical system covering perception, decision-making, execution, and integration, covering key stages of intelligent robot technology. The platform uses virtual simulation technology with computer-based training terminals, allowing learners to practice in highly simulated environments before moving into physical equipment training.

Learning Environment

Company Strength

At ECR Academy, our Intelligent Robotics Technology training solutions are built on deep industry expertise. We've empowered nearly 500,000 participants across 29 countries since 2010, helping over 300,000 learners earn recognized certifications. Our program advantages include:

Over 16 years of specialized experience in vocational skills education and global workforce development
Successfully organized 150+ domestic and international competitions, benefiting 30,000+ technical learners
Access to 3,300+ industry and academic experts who bring real-world product insights
Partnerships with 500+ leading enterprises ensuring curriculum relevance to current automation trends
60,000+ curated educational resources covering sensors, ROS, collaborative robots, and system integration
Integrated virtual simulation platform supporting hands-on learning in programming, vision systems, and mobile robotics

Our project-driven approach combines enterprise engineer mentorship with academic rigor, preparing you for roles in robot equipment selection, assembly, commissioning, and maintenance.

Company Strength

FAQ

Q: Can beginners study this program?

A: Yes. The program uses a step-by-step teaching model, starting with foundational courses such as engineering drawing, fundamentals of mechanical design, and electrical and electronic technology, then moving into core skills such as intelligent sensors, programming development, and robot operating systems. Basic computer operation skills and a foundation in mathematics and science are recommended.

Q: What roles can learners pursue after completing the program?

A: Learners can prepare for roles such as:

Robot Intelligent Equipment Selection Engineer
Intelligent Robot Body Assembly and Commissioning Engineer
Robot Interaction Technology Application Scenario Engineer
Intelligent Robot Integrated Application and Programming Engineer
Intelligent Robot Application System Operation and Maintenance Engineer
Intelligent Robot Application Information Security Management Engineer
Robot System Integration Engineer
Automated Production Line Technician

Q: How is the platform deployed?

A: The platform uses virtual simulation technology with computer-based training terminals. Learners need computer equipment that meets the configuration requirements, such as Windows 10, 8 GB or more memory, and a dedicated graphics card, to complete virtual simulation practice through the software.

Contact Us

Ready to advance your skills in Intelligent Robotics Technology? Connect with ECR Academy today at ecr2008@enteredu.com to explore tailored training solutions.