Machine Learning for Robotics (First Early Release)

If you're a software or machine learning engineer looking to get into robotics, or a robotics engineer planning to deploy machine learning in your projects, this is your book.
You'll learn how to apply deep learning methods to robotics and approach core robotics technologies-perception, reasoning, and prediction-from a deep learning perspective. This guide explores state-of-the-art deep learning algorithms relevant to each core technology and shows you how to use them for real-world robotics. Relevant code samples demonstrate how to apply these algorithms.
You'll learn how to
Formulate robotics as a data-driven AI problem
Recognize the technology behind designing and deploying modern robotics: sensing, perception, training, and control
Apply state-of-the-art techniques in AI to robotics systems
Understand factors driving decision-making in technical design for several robotics applications
Design practical robotic systems for real-world applications: self-driving, prosthetics, and industrial automation


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