3D Object Detection and Navigation with Darknet & YOLO and LIMO Robot Open Class
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 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: LIMO Robot