Online Course

ROS 2 Perception in 5 Days

Elevate Your ROS 2 Expertise with Sensor Intelligence

Course overview

This course will embark on an exciting journey into the realm of perception in robotics using ROS 2. Through a series of structured units and hands-on projects, you will explore various aspects of sensor data processing and perception techniques.

What You Will Learn

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Sensor Data Handling

Process Laser Scans, Images, and Point Clouds

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Image Processing

Implement Blob Tracking and Line Following with OpenCV

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Human-Robot Interaction

Learn Face Detection, Recognition, and Human Tracking

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AI Perception

Apply YOLO for Object Detection, Pose Estimation, and Segmentation

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Deep Learning

Integrate Advanced AI Techniques

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100% Online

No ROS setup is required. Everything is online.

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Intermediate Level

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Approx. 48 hours to complete

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Prerequisites

Simulated Robots Used

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Course Final Hands-on Project

In the Final Project, you will apply the knowledge and skills acquired throughout the course to address a real-world problem: Intelligent Inventory Management with ROS 2.

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Syllabus

Unit 1: Course Intro

In this unit, you will glimpse what this course ‘ROS 2 Perception in 5 Days’ course is all about.

Unit 2: Working With Sensor Data in ROS 2

In this unit, you will understand the different sensor data types used in ROS 2.

Unit 3: Image Processing

In this unit, you will gain a comprehensive understanding of image processing in ROS 2, focusing on integrating OpenCV to implement essential techniques like blob tracking and line following in robotic perception tasks.

Unit 4: Point Cloud Processing

In this unit, you will grasp point cloud processing within ROS 2, covering two primary workflows: surface and object detection. The focus lies on incorporating the PCL library to implement crucial techniques such as filtering, segmentation, and clustering for robotic perception tasks.

Unit 5: Human-Robot Interaction

In this unit, you will learn how to implement perception techniques to enhance Human-Robot Interaction (HRI), starting with face detection and then progressing to face recognition and human tracking.

Final Project: Intelligent Inventory Management with ROS 2

In the final project, you will use the knowledge and skills acquired throughout the course to tackle a real-world problem: Intelligent Inventory Management with ROS 2.

What our students think

“I have had a great experience with The Construct. I believe much of what I have learned thus far regarding ROS has been from these courses and the concepts behind the implementation of ROS have been helpful even outside of ROS applications.“

Sam Daly

“I’m very happy about working with The Constructsim, it is affordable, it is very comfortable for me, and the tools in the GUI are very useful“

Bladimir Bacca Cortes

“I really liked the learning approach based on projects and practical examples and I found the final project with an actual robot to be very useful and challenging.“

Guillermo Robledo