• Title Introduction to Autonomous Robots: Kinematics, Perception, Localization and Planning
• Author(s) Nikolaus Correll
• Publisher: Magellan Scientific; 2nd Edition (2016); eBook (Creative Commons Licensed, December 1, 2021)
• License(s): CC BY-NC 3.0 US
• Hardcover/Paperback 241 pages
• eBook PDF (368 pages)
• Language: English
• ISBN-10: 0692700870
• ISBN-13: 978-0692700877
• Share This:  

Book Description

This book introduces concepts in mobile, autonomous robotics to 3rd-4th year students in Computer Science or a related discipline. It covers principles of robot motion, forward and inverse kinematics of robotic arms and simple wheeled platforms, perception, error propagation, localization and simultaneous localization and mapping.

The cover picture shows a wind-up toy that is smart enough to not fall off a table just using intelligent mechanism design and illustrate the importance of the mechanism in designing intelligent, autonomous systems.

This book is open source, open to contributions, and released under a creative common license.

• N/A

• Amazon

• Robotics and Robot Programming
• Machine Learning
• Artificial Intelligence
• Embedded Systems
• Neural Networks

• Introduction to Autonomous Robots (Nikolaus Correll)
• The Mirror Site (1) - PDF
• The Mirror Site (2) - PDF
• The Mirror Site (3) - PDF

• Foundations of Robotics: Approach with Python and ROS

  This book introduces key concepts in robotics in an easy to understand language using an engaging project-based approach. It covers contemporary topics in robotics, providing an accessible entry point to fundamentals in all the major domains.

• Modern Robotics: Mechanics, Planning, and Control

  Offers a distinct and unified perspective of the mechanics, planning and control of robots. Ideal for self-learning, or for courses, as it assumes only freshman-level physics, ordinary differential equations, linear algebra and a little bit of computing background.

• Elements of Robotics (Mordechai Ben-Ari, et al)

  This book bridges the gap between playing with robots in school and studying robotics to prepare for careers in industry and research. Robotic algorithms are presented formally, but using only mathematics known by high-school and first-year college students.

• Robots and AI (Lili Yan Ing, et al)

  The book explains new approaches on how robots and artificial intelligence affect the world economy by presenting detailed theoretical framework and country-specific as well as firm-product level-specific exercises.

• Modern Robotics with OpenCV (Widodo Budiharto)

  This book is written to provide an introduction to intelligent robotics using OpenCV. It gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated Robotics applications.

• Distributed Control of Robotic Networks (Francesco Bullo, et al)

  This self-contained introduction to the distributed control of robotic networks offers a distinctive blend of computer science and control theory. It provides explanations of the basic concepts and main results, as well as numerous examples and exercises.

• Robotics (WikiBooks)

  This book tries to cover all the key areas of robotics as a hobby. When possible examples from industrial robots will be addressed too. It gives the information needed to design a robot, to integrate a robot in appropriate applications, or to analyze a robot.