Download 100 Free AI and Robotics Books and eBooks - Part 3

With the advancement of technology, new exciting approaches enable us to render mobile robotic systems more versatile, robust and cost-efficient. Some researchers combine climbing and walking techniques with a modular approach, a reconfigurable approach, or a swarm approach to realize novel prototypes as flexible mobile robotic platforms featuring all necessary locomotion capabilities.

Nature has always been a source of inspiration and ideas for the robotics community. New solutions and technologies are required and hence this book is coming out to address and deal with the main challenges facing walking and climbing robots, and contributes with innovative solutions, designs, technologies and techniques.

Free online book “Neural Networks” by Genevieve Orr. It’s goal is to introduce students to a powerful class of model, the Neural Network, a broad term which includes many diverse models and approaches. It will first motivate networks by analogy to the brain. The analogy is loose, but serves to introduce the idea of parallel and distributed computation.

The book New Approaches in Automation and Robotics offers in 22 chapters a collection of recent developments in automation, robotics as well as control theory. It is dedicated to researchers in science and industry, students, and practicing engineers, who wish to update and enhance their knowledge on modern methods and innovative applications.

This free online book is divided into the following sections: Introduction, Components, Supervised Learning, Unsupervised Learning and Applications.

This free pdf book “Introduction to Machine Learning” by Nils J. Nilsson

Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning.

Free eBook “How Are We To Know?” by Nils J. Nilsson. This book makes the following points: 1) in analogy with robots, we humans know by the models we make of reality, 2) these models are always provisional and sometimes unreliable, 3) it is especially important to examine thoroughly those models upon which we base actions, and 4) the scientific method provides an excellent guide for such examination.

The primarily goal of this book is to cover the state-of-the-art development and future directions in modern manufacturing systems.

This book covers a wide range of topics relating to advanced industrial robotics, sensors and automation technologies. Although being highly technical and complex in nature, the papers presented in this book represent some of the latest cutting edge technologies and advancements in industrial robotics technology.