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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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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

Introducing the Udacity open source self-driving car project


There is another open source self-driving car project by Udacity (https://github.com/udacity/self-driving-car) that was created for teaching their Nanodegree self-driving car program. The aim of this project is to create a complete autonomous self-driving car using deep learning and using ROS as middleware for communication. The project is split into a series of challenges, and anyone can contribute to the project and win a prize. The project is trying to train a convolution neural network (CNN) from a vehicle camera dataset to predict steering angles. This approach is a replication of end-to-end deep learning from NVIDIA (https://devblogs.nvidia.com/parallelforall/deep-learning-self-driving-cars/), used in their self-driving car project called DAVE-2.

The following is the block diagram of DAVE-2. DAVE-2 stands for DARPA Autonomous Vehicle-2, which is inspired by the DAVE project by DARPA.

Figure 38: DAVE-2 block diagram

This system...

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