Object Detection with OpenCV for ROS 2 Open Class
What you will learn in this Open Class
Object detection is a key computer vision technique crucial in robotics as it enables robots to perceive and understand their environment by identifying objects around them, which is essential for tasks such as navigation, manipulation, object tracking, and safe operation. By recognizing objects, robots can make informed decisions about their actions, plan object interactions (like grasping or assembling), track object movements, and avoid potential hazards, ultimately enhancing their autonomy, adaptability, and ability to operate intelligently in complex environments.
In this Open Class, we’ll explore how to implement object detection using OpenCV and ROS 2.
You will learn:
- Introduction to Object Detection: Understand the basics of how to implement object detection in ROS 2 with OpenCV
- Practical Implementation: Step-by-step guidance on coding and setting up object detection on a Botbox robot
Robot Used: BotBox