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ROS Robotics Projects

You're reading from   ROS Robotics Projects Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st Edition
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Concepts
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Author (1):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with ROS Robotics Application Development 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos FREE CHAPTER 3. Building a Siri-Like Chatbot in ROS 4. Controlling Embedded Boards Using ROS 5. Teleoperate a Robot Using Hand Gestures 6. Object Detection and Recognition 7. Deep Learning Using ROS and TensorFlow 8. ROS on MATLAB and Android 9. Building an Autonomous Mobile Robot 10. Creating a Self-Driving Car Using ROS 11. Teleoperating a Robot Using a VR Headset and Leap Motion 12. Controlling Your Robots over the Web

Getting started with object detection and recognition


So what's the main difference between detection and recognition? Consider face detection and face recognition. In face detection, the algorithm tries to detect a face from an image, but in recognition, the algorithm can also state information about whose face is detected. It may be the person's name, gender, or something else.

Similarly, object detection involves the detection of a class of object and recognition performs the next level of classification, which tells which us the name of the object.

There is a vast number of applications that use object detection and recognition techniques. Here is a popular application that is going to be used in Amazon warehouses:

Figure 1: A photo from an Amazon Picking Challenge

Amazon is planning to automate the picking and placing of objects from the shelves inside their warehouses. To retrieve objects from the shelves, they are planning to deploy robotic arms such as the one shown in the previous...

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