What you will learn in this Open Class

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.

In this Open Class, we’ll explore how to implement 3D object detection using YOLOv8 and apply it to navigate the LIMO robot toward detected objects.

You will learn:

• Introduction to 3D Object Detection in Robotics
• Understanding YOLOv8 architecture and its application in 3D space
• Integrating YOLOv8 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: LIMO Robot