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Robotics and Robot Programming
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  • Cognitive Robotics (Angelo Cangelosi, et al)

    Covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. offering the first comprehensive coverage of building robots inspired by natural cognitive systems.

  • Deep Neural Networks and Data for Automated Driving

    This open access book unites the views from both academia and industry, where computer vision and machine learning meet environment perception for highly automated driving and artificial intelligence.

  • Making Meaning with Machines (Amy LaViers, et al)

    This book takes readers on a fascinating scholarly tour of human movement and offer a compelling program for roboticists, technologists, and designers seeking fresh perspectives on human-machine interaction.

  • 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.

  • 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.

  • Introduction to Autonomous Robots (Nikolaus Correll, et al)

    It provides a broad algorithmic perspective on the mechanics and dynamics of robots, offers a much-needed resource for the computational fundamentals behind the design and control of autonomous robots, balances the impact of hardware and software.

  • 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.

  • Biologically Inspired Robotics (Yunhui Liu, et al.)

    This book takes readers through an exploration of biologically inspired robot design and control, micro/nano bio-robotic systems, biological measurement and actuation, and applications of robotics technology to biological problems.

  • Learning Computing with Robots in C++ (Deepak Kumar)

    This book provides a structured and in-depth exploration of robotic programming concepts using the C++ language, introduce you to the world of computers, robots, and computing. Robots have been in existence much longer than computers.

  • C++ Fundamentals for Robotics (Automatic Addison)

    Learn how to build and program real autonomous robots by experiencing the demonstrations of complete coding of robotics with the use of simple and clear C++ programming.

  • X-Machines for Agent-Based Modeling (Mariam Kiran)

    This book contains a comprehensive summary of the field, covers the basics of FLAME, and shows how concepts of X-Machines, can be stretched across multiple fields to produce Agent-Based Models.

  • ROS Robot Programming (YoonSeok Pyo, et al.)

    This book is a ROS robot programming guide based on the experiences accumulated from ROS projects like TurtleBot3, OpenCR and OpenManipulator. It's a comprehensive guide that covers all aspects necessary for a beginner in Robot Operating System (ROS).

  • 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.

  • 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.

  • 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.

  • Robotics for Beginners (Tejinder Devgon, et al.)

    Provides a thorough foundation around robotics, this book takes you through a lot of essential topics about robotics, including robotic sensing, actuation, programming, motion control, and kinematic analysis of robotic manipulators.

  • Meaningful Futures with Robots: Designing a New Coexistence

    Soon, robots will leave the factories and enter living rooms, supermarkets, and care facilities. This book provides insight into the opportunities and risks that arise from living with robots in the future, anchored in current research projects on everyday robotics.

  • Embedded Control Systems Design (Herman Bruyninckx, et al.)

    The book is mainly addressed to practicing control and embedded software engineers - working in research and development – as well as graduate students who are faced with the challenge to design control systems and implement them in real-time.

  • How Humans Judge Machines (Cesar A. Hidalgo, et al)

    A detailed examination of people's reactions to machine actions as compared to human actions. Through dozens of experiments, this book explores when and why people judge humans and machines differently.

  • The Age of Intelligent Machines (Ray Kurzweil)

    This book probes the past, present, and future of artificial intelligence, from its earliest philosophical and mathematical roots to tantalizing glimpses of 21st-century machines with superior intelligence and truly prodigious speed and memory.

  • 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.

  • 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.

  • Nonparametric Bayesian Learning for Collaborative Robot

    This book introduces a fast, accurate, robot anomaly monitoring, diagnosis and recovery scheme for endowing robots with longer-term autonomy and a safer collaborative environment, emonstrates two robots that perform three manipulation tasks.

  • 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.

  • Brain, Vision and AI (Cesare Rossi)

    The aim of this book is to provide new ideas, original results and practical experiences regarding service robotics. This book provides only a small example of this research activity, but it covers a great deal of what has been done in the field recently.

  • 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.

  • Fuzzy Logic - Controls, Concepts, Theories and Applications

    This book introduces new concepts and theories of Fuzzy Logic Control for the application and development of robotics and intelligent machines - how it will play a significant role in the development of intelligent robotic, machine, and mechatronics systems.

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