Artificial Intelligence for Robotics : Build Intelligent Robots That Perform Human Tasks Using AI Techniques

Foundation for advanced robotics and AI technical requirements -- Setting up your robot -- A concept for a practical robot design process -- Object recognition using neural networks and supervised learning -- Picking up the toys -- Teaching a robot to listen -- Avoiding the stairs -- Putting things away -- Giving the robot an artificial personality -- Conclusions and reflections. Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around youAbout This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no timeWho This Book Is ForThis book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on itIn DetailArtificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide!Style and approachThis highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application Discover best practices and troubleshooting solutions when working on ROSKey FeaturesDevelop complex robotic applications using ROS to interface robot manipulators and mobile robotsGain insight into autonomous navigation in mobile robots and motion planning in robot manipulatorsDiscover best practices and troubleshooting solutionsBook DescriptionIn this day and age, robotics has been gaining a lot of traction in various industries where consistency and perfection matter. Automation is achieved via robotic applications and various platforms that support robotics. The Robot Operating System (ROS) is a modular software platform to develop generic robotic applications. This book focuses on the most stable release of ROS (Kinetic Kame), discusses advanced concepts, and effectively teaches you programming using ROS. We begin with aninformative overview of the ROS framework, which will give you a clear idea of how ROS works. During the course of this book, you'll learn to build models of complex robots, and simulate and interface the robot using the ROS MoveIt! motion planning library and ROS navigation stacks. Learn to leverage several ROS packages to embrace your robot models. After covering robot manipulation and navigation, you'll get to grips with the interfacing I/O boards, sensors, and actuators of ROS. Vision sensors are a key component of robots, and an entire chapter is dedicated to the vision sensor and image elaboration, its interface in ROS and programming. You'll also understand the hardware interface and simulation of complex robots to ROS and ROS Industrial. At the end of this book, you'll discover the best practices to follow when programming using ROS. What you will learnCreate a robot model with a seven-DOF robotic arm and a differential wheeled mobile robotWork with Gazebo and V-REP robotic simulatorImplement autonomous navigation in differential drive robots using SLAM and AMCL packagesExplore the ROS Pluginlib, ROS nodelets, and Gazebo pluginsInterface I/O boards such as Arduino, robot sensors, and high-end actuatorsSimulate and motion plan an ABB and universal arm using ROS IndustrialExplore the latest version of the ROS frameworkWork with the motion planning of a seven-DOF arm using MoveIt!Who this book is forIf you are a robotics enthusiast or researcher who want to learn more about building robot applications using ROS, this book is for you. In order to learn from this book, you should have a basic knowledge of ROS, GNU/Linux, and C++ programming concepts. The book is also excellent for programmers who want to explore the advanced features of ROS. Build Real-world Ai Applications With Python To Intelligently Interact With Your Surroundingsabout This Book* Step Into The Amazing World Of Intelligent Apps Using This Comprehensive Guide* Enter The World Of Ai, Explore It, And Become Independent To Create Your Own Ai Apps* Work Through Simple Yet Insightful Examples That Will Get You Up And Running With Artificial Intelligence In No Timewho This Book Is Forthis Book Is For Python Developers Who Want To Build Real-world Ai Applications. This Book Is Friendly To Python Beginners, But Being Familiar With Python Would Be Useful To Play Around With The Code. It Will Also Be Useful For Experienced Python Programmers Who Are Looking To Implement Ai Techniques In Their Existing Technology Stacks.what You Will Learn* Find Out How To Use Different Classification And Regression Techniques* Understand The Concept Of Clustering And How To Use It To Automatically Segment Data* See How To Build An Intelligent Recommender System* Understand Logic Programming And How To Use It* Develop Automatic Speech Recognition Systems* Understand The Basics Of Heuristic Search And Genetic Programming* Develop An Understanding Of Reinforcement Learning* Discover How To Build Ai Applications Centered On Images, Text, And Time Series Data* Understand How To Use Deep Learning Algorithms And Build Applications Based On Itin Detailai Is Becoming Increasingly Relevant In The Modern World Where The Ecosystem Is Driven By Technology And Data. Ai Is Used Extensively Across Many Fields Such As Robotics, Computer Vision, Finance, And So On. We Will Explore Various Real-world Scenarios In This Book And You'll Learn About Various Ai Algorithms That Can Be Used To Build Various Applications.during The Course Of This Book, You Will Find Out How To Make Informed Decisions About What Algorithms To Use In A Given Context. Starting From The Basics Of The Ai Concepts, You Will Learn How To Develop The Various Building Blocks Of Ai Using Different Data Mining Techniques. You Will See How To Implement Different Algorithms To Get The Best Possible Results, And Will Understand How To Apply Them To Real-world Scenarios. If You Want To Add An Intelligence Layer To Any Application Based On Images, Text, Stock Market, Or Some Other Form Of Data, This Exciting Book On Ai Will Definitely Guide You All The Way! Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book Description Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence. What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot's intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! What You Will Learn: Realize different classification and regression techniques; Understand the concept of clustering and how to use it to automatically segment data; See how to build an intelligent recommender system; Understand logic programming and how to use it; Build automatic speech recognition systems; Understand the basics of heuristic search and genetic programming; Develop games using Artificial Intelligence; Learn how reinforcement learning works; Discover how to build intelligent applications centered on images, text, and time series data; See how to use deep learning algorithms and build applications based on it--Publisher website Since its publication in 1949, D.O. Hebb's, The Organization of Behavior has been one of the most influential books in the fields of psychology and neuroscience. However, the original edition has been unavailable since 1966, ensuring that Hebb's comment that a classic normally means "cited but not read" is true in his case. This new edition rectifies a long-standing problem for behavioral neuroscientists—the inability to obtain one of the most cited publications in the field. The Organization of Behavior played a significant part in stimulating the investigation of the neural foundations of behavior and continues to be inspiring because it provides a general framework for relating behavior to synaptic organization through the dynamics of neural networks. D.O. Hebb was also the first to examine the mechanisms by which environment and experience can influence brain structure and function, and his ideas formed the basis for work on enriched environments as stimulants for behavioral development. References to Hebb, the Hebbian cell assembly, the Hebb synapse, and the Hebb rule increase each year. These forceful ideas of 1949 are now applied in engineering, robotics, and computer science, as well as neurophysiology, neuroscience, and psychology—a tribute to Hebb's foresight in developing a foundational neuropsychological theory of the organization of behavior. In today's era, robotics has been gaining a lot of traction in various industries where consistency and perfection matters most. Automation plays a major role in our world, and most of this is achieved via robotic applications and various platforms that support robotics. The Robot Operating System (ROS) is a modular software platform to ... This book will bring together a number of different lines of rsrch, in a general theory of behavior that attempts to bridge the gap b/n neurophysiology & psychology.It will appeal to clinicians, psychologists, & physiologists.