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 DescriptionArtificial 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.

How to educate the next generation of college students to invent, to create, and to discover—filling needs that even the most sophisticated robot cannot. Driverless cars are hitting the road, powered by artificial intelligence. Robots can climb stairs, open doors, win Jeopardy, analyze stocks, work in factories, find parking spaces, advise oncologists. In the past, automation was considered a threat to low-skilled labor. Now, many high-skilled functions, including interpreting medical images, doing legal research, and analyzing data, are within the skill sets of machines. How can higher education prepare students for their professional lives when professions themselves are disappearing? In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover—to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A “robot-proof” education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society—a scientific proof, a hip-hop recording, a web comic, a cure for cancer. Aoun lays out the framework for a new discipline, humanics, which builds on our innate strengths and prepares students to compete in a labor market in which smart machines work alongside human professionals. The new literacies of Aoun's humanics are data literacy, technological literacy, and human literacy. Students will need data literacy to manage the flow of big data, and technological literacy to know how their machines work, but human literacy—the humanities, communication, and design—to function as a human being. Life-long learning opportunities will support their ability to adapt to change. The only certainty about the future is change. Higher education based on the new literacies of humanics can equip students for living and working through change.

A comprehensive survey of artificial intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications. This textbook offers a comprehensive survey of artificial intelligence (AI) algorithms and programming organization for robot systems. Readers who master the topics covered will be able to design and evaluate an artificially intelligent robot for applications involving sensing, acting, planning, and learning. A background in AI is not required; the book introduces key AI topics from all AI subdisciplines throughout the book and explains how they contribute to autonomous capabilities. This second edition is a major expansion and reorganization of the first edition, reflecting the dramatic advances made in AI over the past fifteen years. An introductory overview provides a framework for thinking about AI for robotics, distinguishing between the fundamentally different design paradigms of automation and autonomy. The book then discusses the reactive functionality of sensing and acting in AI robotics; introduces the deliberative functions most often associated with intelligence and the capability of autonomous initiative; surveys multi-robot systems and (in a new chapter) human-robot interaction; and offers a “metaview” of how to design and evaluate autonomous systems and the ethical considerations in doing so. New material covers locomotion, simultaneous localization and mapping, human-robot interaction, machine learning, and ethics. Each chapter includes exercises, and many chapters provide case studies. Endnotes point to additional reading, highlight advanced topics, and offer robot trivia.

Robot Attitude is a creative and useful mix about robots and AI and how they will affect every aspect of our daily lives and of organizations of every kind. Robots and Artificial Intelligence are coming. Should we be afraid of them or embrace them? Robot Attitude offers answers. It is an easy to understand view of the present and a vision of the future. This book covers the full spectrum of what is going on in a highly pragmatic and very readable way. The book is #6 of Patrick's "It's All About Attitude" series which consistently articulates how attitude is the ultimate differentiator between success and failure of new technology. The following is what some thought leaders had to say about Robot Attitude. "John Patrick adds to the Attitude series with an installment I've been anxiously awaiting! Robot Attitude is our guidebook to the future in numerous fields. John zeroes in on what we need to know today to understand technology's promises for tomorrow."Skip Prichard, President & CEO, OCLC, Inc., WSJ bestselling author of The Book of Mistakes: 9 Secrets to Creating a Successful Future"John Patrick's book avoids the gloom and doom some pundits predict about the impact of robots. In Robot Attitude, he offers a practical and easy to understand view about how robots help businesses, large and small."Frank Pagano, General Manager at Practical Robotic Services LLC"Robot Attitude, John Patrick's latest book in his renowned Attitude Series clearly and concisely discusses the three areas where intelligent robots will have an impact: use of robot technology, their future impact on humankind, and how we humans can manage the transition. It's required reading for anyone interested in what will likely be the greatest transition humankind has yet undergone."Ronald H. Gruner, Founder, Alliant Computer and Shareholder.com"Dr. John Patrick has done it again! Robot Attitude, his fifth challenge to technology innovators, follows the successful formula set by Net Attitude, his original guide to transformative technologies. Patrick sees a brighter man-machine future, and documents it. Thus, Robot Attitude becomes a virtual piñata of bright, shiny robotic toys and tools that are not just changing the face of manufacturing, but of living itself. Ignore Patrick's predictions at your peril, understand them better, with this highly readable book."James G. Kollegger, CEO, Genesys Partners, Inc."In Robot Attitude John reaches back to his recurrent theme of our attitude toward new technology but also reveals how the coming technology may have an attitude toward us. The future is not about humans vs. robots and AI. The future is about humans + robots and AI. John's book tells you why."Konrad Gulla, Chief Visionary & Founder, Keeeb, Inc."Dr. Patrick's Robot Attitude delivers a remarkable and concise analysis of a really fast moving target - Artificial Intelligence and its many applications. A must read and excellent source for future investment ideas."J. B. Hamilton, Investment Advisor, Greenwich, CT

Artificial intelligence is a tool to explore and create, and it starts here with the experts at Steamlabs, a nonprofit that teaches teens to not just be users of technology, but to create with technology so they can be help shape our future. Make: AI Robots introduces young people to AI through exciting craft projects that start with a mechanical cardboard creation, integrates fun electronic lights and motors, adds simple coding on a micro:bit, and then teaches how to train AI to create a spark of life. With 32 projects designed to guide beginners through increasing challenges, Make: AI Robots is the perfect way to feed curious minds with fun AI experiments that will delight and inspire.

AI is poised to disrupt our work and our lives. We can harness these technologies rather than fall captive to them—but only through wise regulation. Too many CEOs tell a simple story about the future of work: if a machine can do what you do, your job will be automated. They envision everyone from doctors to soldiers rendered superfluous by ever-more-powerful AI. They offer stark alternatives: make robots or be replaced by them. Another story is possible. In virtually every walk of life, robotic systems can make labor more valuable, not less. Frank Pasquale tells the story of nurses, teachers, designers, and others who partner with technologists, rather than meekly serving as data sources for their computerized replacements. This cooperation reveals the kind of technological advance that could bring us all better health care, education, and more, while maintaining meaningful work. These partnerships also show how law and regulation can promote prosperity for all, rather than a zero-sum race of humans against machines. How far should AI be entrusted to assume tasks once performed by humans? What is gained and lost when it does? What is the optimal mix of robotic and human interaction? New Laws of Robotics makes the case that policymakers must not allow corporations or engineers to answer these questions alone. The kind of automation we get—and who it benefits—will depend on myriad small decisions about how to develop AI. Pasquale proposes ways to democratize that decision making, rather than centralize it in unaccountable firms. Sober yet optimistic, New Laws of Robotics offers an inspiring vision of technological progress, in which human capacities and expertise are the irreplaceable center of an inclusive economy.

Making Simple Robots is based on one idea: Anybody can build a robot! That includes kids, school teachers, parents, and non-engineers. If you can knit, sew, or fold a flat piece of paper into a box, you can build a no-tech robotic part. If you can use a hot glue gun, you can learn to solder basic electronics into a low-tech robot that reacts to its environment. And if you can figure out how to use the apps on your smart phone, you can learn enough programming to communicate with a simple robot. Written in language that non-engineers can understand, Making Simple Robots helps beginners move beyond basic craft skills and materials to the latest products and tools being used by artists and inventors. Find out how to animate folded paper origami, design a versatile robot wheel-leg for 3D printing, or program a rag doll to blink its cyborg eye. Each project includes step-by-step directions as well as clear diagrams and photographs. And every chapter offers suggestions for modifying and expanding the projects, so that you can return to the projects again and again as your skill set grows.