Published by Packt Publishing (edition ), 2018
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Published by Packt Publishing 3/29/2024, 2024
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Published by Packt Publishing 2018-08-30, 2018
ISBN 10: 1788835441 ISBN 13: 9781788835442
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Published by Packt Publishing Limited, 2024
ISBN 10: 1805129597 ISBN 13: 9781805129592
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Published by Packt Publishing Limited, 2018
ISBN 10: 1788835441 ISBN 13: 9781788835442
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Let an AI and robotics expert help you apply AI, systems engineering, and ML concepts to create smart robots capable of interacting with their environment and users, making decisions, and navigating autonomouslyKey Features Gain a holistic understanding of robot design, systems engineering, and task analysis Implement AI/ML techniques to detect and manipulate objects and navigate robots using landmarks Integrate voice and natural language interactions to create a digital assistant and artificial personality for your robot Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook DescriptionUnlock the potential of your robots by enhancing their perception with cutting-edge artificial intelligence and machine learning techniques. From neural networks to computer vision, this second edition of the book equips you with the latest tools, new and expanded topics such as object recognition and creating artificial personality, and practical use cases to create truly smart robots.Starting with robotics basics, robot architecture, control systems, and decision-making theory, this book presents systems-engineering methods to design problem-solving robots with single-board computers. You'll explore object recognition using YOLO and genetic algorithms to teach your robot to identify and pick up objects, leverage natural language processing to give your robot a voice, and master neural networks to classify and separate objects and navigate autonomously, before advancing to guiding your robot arms using reinforcement learning and genetic algorithms. The book also covers path planning and goal-oriented programming to prioritize your robot's tasks, showing you how to connect all software using Python and ROS 2 for a seamless experience.By the end of this book, you'll have learned how to transform your robot into a helpful assistant with NLP and give it an artificial personality, ready to tackle real-world tasks and even crack jokes.What you will learn Get started with robotics and AI essentials Understand path planning, decision trees, and search algorithms to enhance your robot Explore object recognition using neural networks and supervised learning techniques Employ genetic algorithms to enable your robot arm to manipulate objects Teach your robot to listen using Natural Language Processing through an expert system Program your robot in how to avoid obstacles and retrieve objects with machine learning and computer vision Apply simulation techniques to give your robot an artificial personalityWho this book is forThis book is for practicing robotics engineers and enthusiasts aiming to advance their skills by applying AI and ML techniques. Students and researchers looking for practical guidance for solving specific problems or approaching a difficult robot design will find this book insightful.Proficiency in Python programming, familiarity with electronics and wiring, single board computers, Linux-based command-line interface (CLI), and knowledge of AI/ML concepts are required to get started with this book.Table of Contents The Foundation of Robotics and Artificial Intelligence Setting Up Your Robot Conceptualizing the Practical Robot Design Process Recognizing Objects Using Neural Networks and Supervised Learning Picking Up and Putting Away Toys using Reinforcement Learning and Genetic Algorithms Teaching a Robot to Listen Teaching the Robot to Navigate and Avoid Stairs Putting Things Away Giving the Robot an Artificial Personality Conclusions and Reflections Q and A Apendix.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bring a new degree of interconnectivity to your world by building your own intelligent robotsKey FeaturesLeverage fundamentals of AI and roboticsWork through use cases to implement various machine learning algorithmsExplore Natural Language Processing (NLP) concepts for efficient decision making in robotsBook 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 learnGet started with robotics and artificial intelligenceApply simulation techniques to give your robot an artificial personalityUnderstand object recognition using neural networks and supervised learning techniquesPick up objects using genetic algorithms for manipulationTeach your robot to listen using NLP via an expert systemUse machine learning and computer vision to teach your robot how to avoid obstaclesUnderstand path planning, decision trees, and search algorithms in order to enhance your robotWho this book is forIf 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.Table of ContentsFoundation for Advanced Robotics and AISetting Up Your RobotA Concept for a Practical Robot Design ProcessObject Recognition Using Neural Networks and Supervised LearningPicking up the ToysTeaching a Robot to ListenAvoiding the StairsPutting Things AwayGiving the Robot an Artificial PersonalityConclusions and ReflectionsAssessments.