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ROS Programming: Building Powerful Robots
book

ROS Programming: Building Powerful Robots

by Anil Mahtani, Luis Sanchez, Enrique Fernandez, Aaron Martinez, Lentin Joseph
March 2018
Intermediate to advanced content levelIntermediate to advanced
1396 pages
42h 14m
English
Packt Publishing
Content preview from ROS Programming: Building Powerful Robots

Deep learning for robotics

Here are the main robotics areas where we apply deep learning:

  • Deep-learning-based object detector: Imagine a robot wants to pick a specific object from a group of objects. What could be the first step for solving this problem? It should identify the object first, right? We can use image processing algorithms such as segmentation and Haar training to detect an object, but the problem with those techniques is they are not scalable and can't be used for many objects. Using deep learning algorithms, we can train a large neural network with a large dataset. It can have good accuracy and scalability compared to other methods. Datasets such as ImageNet (http://image-net.org/), which have a large collection of image datasets, ...
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Publisher Resources

ISBN: 9781788627436Supplemental Content