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Robotics and Robot Programming
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  • 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.

  • Playful Machine: Theoretical and Practical Self-Organizing Robots

    The book develops guided self-organization, a new method that helps to make the playful machines fit for fulfilling tasks in the real world. It comes with a robotics simulator inviting also the non-scientific reader to simply enjoy the fabulous world of playful machines.

  • 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.

  • Learning Computing with Robots (Deepak Kumar)

    This book will introduce you to the world of computers, robots, and computing. You will learn that computing is no more about computers than astronomy is about telescopes. Robots have been in existence much longer than computers.

  • 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.

  • Introduction to Autonomous Robots (Nikolaus Correll)

    It introduces concepts in mobile, autonomous robotics, 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.

  • First Course in Programming with Karel the Robot and Python

    This book provides a gentle yet efficient and comprehensive introduction to modern algorithmic design and computer programming. It consists of two programming languages - Karel the Robot and Python.

  • AI based Robot Safe Learning and Control (Xuefeng Zhou, et al)

    This book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning.

  • Java: Learning to Program with Robots (Byron Weber Becker)

    This book is an innovative approach to teaching and learning object-oriented concepts with simulated robots, a hands-on approach that is engaging and fun. It also uses a wide range of non-robotic examples.

  • Coding with Minecraft: Learn to Code by Programming Robots

    This book is a hands-on introduction to coding that teaches you how to program bots to do cool things in the game you love - Minecraft! This book takes the robotic "turtle" method, and extends it to the 3D, interactive world of Minecraft.

  • Robot Learning (Suraiya Jabin)

    It gives a focused introduction to the primary themes in a Robot learning course and demonstrates the relevance and practicality of various Machine Learning algorithms to a wide variety of real-world applications from evolutionary techniques to reinforcement learning, classification, control, uncertainty and many other important fields.

  • From Bricks to Brains: Embodied Cognitive Science of LEGO Robots

    This book introduces embodied cognitive science and illustrates its foundational ideas through the construction and observation of LEGO Mindstorms robots - even simple agents, such as LEGO robots, are capable of exhibiting complex behavior.

  • Automation and Robotics (Juan M. Arreguin)

    This book describe projects where topics of artificial intelligence, modeling and simulation process, target tracking algorithms, kinematic constraints of the closed loops, non-linear control, are used in advanced and recent research.

  • Planning Algorithms (Steven M. LaValle)

    This is the only book for teaching and referencing of Planning Algorithms in applications including robotics, computational biology, computer graphics, manufacturing, aerospace applications and medicine, etc.

  • Machine Vision: Automated Visual Inspection and Robot Vision

    This book provides an introduction to the fundamental principles of machine vision for students. Emphasis is laid on providing the reader with a solid grounding in the basic tools for image acquisition, processing and analysis.

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