Handbook of Intelligent Robots: Theory, Methods and Applications

This handbook introduces some of the most relevant techniques used to develop intelligent robotic systems and provides several examples of applications where robots equipped with AI are deployed to solve a task. Handbook of Intelligent Robots: Theory, Methods and Applications is split into two main parts.The first part reviews key methods for developing intelligent robots implemented across various robotic systems, including service robots, micro aerial vehicles, manipulators, and humanoids, among others, deployed in diverse applications.The second part of the book provides several examples of applications where robotics systems are leveraged by AI and machine learning techniques to address real life applications, thus providing insights into the challenges and limitations of deploying robotic systems outside the laboratory.The main goal of the book is to familiarize the reader with the most recent concepts and techniques that are enabling robots to update their learned models online,