In this Open Class, you’ll learn how to implement 3D object detection using Darknet & YOLO and apply it to navigate the LIMO robot toward detected objects.

You will learn:
✏️ Introduction to 3D Object Detection in Robotics
✏️ Understanding Darknet & YOLO architecture and its application in 3D space
✏️ Integrating Darknet & YOLO with ROS 2 for real-time object detection
✏️ Implementing navigation algorithms to move the LIMO robot toward detected objects
✏️ Hands-on experience in building a complete perception-action pipeline

🤖️ *Robot used in this open class: LIMO Robot Simulation*
📁 *ROS project link: https://app.theconstruct.ai/l/6533f956/
🦾 * ROS 2 Perception Course: https://app.theconstruct.ai/courses/239

Get a LIMO Robot: https://bit.ly/4dBDh7d

3D Object Detection and Navigation are crucial skills in robotics and computer vision applications. They enable robots to perceive and interact with their environment, making them essential for tasks such as autonomous navigation, object manipulation, and environmental mapping. This technology has a wide range of applications in fields like warehouse automation, search and rescue operations, and assistive robotics.

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ROS Developers Open Class, a weekly free live-streaming event by The Construct AI, aims to make robotics accessible to all.

Each session provides a ROS-based project (referred to as ROSJECTs 🦾 📁) for all attendees, including notebooks, code, and Gazebo robot simulations. Led by ROS expert Alberto Ezquerro, you’ll practice and develop robots in real-time.

*Missed a session? Find recordings & ROSJECTs on https://app.theconstruct.ai/open-classes/*

We’re excited to share this series with you! If you have questions or want to explore new topics, drop us a comment below.

Cheers.
*The Construct | Where Your Robotics Career Happens*
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👨‍🏫 Class Creator: Alberto Ezquerro (Head of Education @TheConstruct )
👩‍💻 Class cover designer: Sonia/Ruojun Wang (Marketing Assistant @TheConstruct )

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#Robot #Robotics #ros

Music from InAudio: https://inaudio.org/
Digital Technology Background*.

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