Artificial Intelligence Robotics Autonomous (88 results)

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Gebundene Ausgabe. Condition: Neu. Neu Neuware, auf Lager - If you want to learn about robotics, then keep readingRobotics is slowly creeping into our lives, and soon, robots will be everywhere.Do you know everything there is to know about robotics Do you want to know more about robotics Do you want to discover the advantages of robotics If so, then you've come to the right place.In this book, you will learn everything you need to know about robotics as a beginner: The basics of robotics and what some of the advantages and disadvantages are. Reasons that experts are trying to warn us about robots. Myths about robots and the actual truth. Robotic Process Automation and how it relates to robotics. Mobile robots and how they have changed throughout the years. Artificial Intelligence and how it can be tied to robotics. Machine learning and how robots use it. Autonomous vehicles and how they work. How robots use speech recognition. Drones - what they are and how they work. How robots are being used in business and how they could take your job. Answers to frequently asked questions about robotics. And much, much more!If you want to learn more about robotics, then scroll up and click 'add to cart'.…

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Taschenbuch. Condition: Neu. Neuware - Artificial Intelligence and Robotics: Advanced Concepts and Applications is designed for readers who already understand the fundamentals and want to explore the deeper technologies behind modern AI systems. This book explains the architectures, algorithms, and engineering principles that power real-world intelligent systems used in industry, research, and large-scale applications.Written in clear, structured language, this guide breaks down complex topics such as deep learning, computer vision, natural language processing, and autonomous robotics into practical concepts supported by real examples and code.Inside this book, you will explore: - Advanced machine learning techniques used in real AI systems- Deep learning architectures including CNNs, RNNs, and transformer models- Computer vision systems for object detection and image understanding- Natural language processing methods powering modern language models- Robotics technologies including kinematics, motion planning, and SLAM- Autonomous systems used in self-driving vehicles and drones- AI infrastructure, cloud AI, edge AI, and scalable machine learning systems- Hardware acceleration using GPUs, TPUs, and specialized AI processors- How AI models move from research experiments to real production systems- The future of intelligent machines and emerging technologiesRather than focusing only on theory, this book emphasizes practical understanding of how modern AI and robotics systems are designed, trained, and deployed in real environments.By the end of this book, you will have a deeper understanding of the technologies behind today's most advanced intelligent systems and how these systems are transforming industries around the world.Whether you are a student, developer, engineer, or technology enthusiast, this book will help you move beyond basic AI concepts and explore the advanced ideas driving the next generation of intelligent machines.…

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Taschenbuch. Condition: Neu. Neuware - Artificial intelligence has achieved remarkable success through optimization-based learning, probabilistic reasoning, deep neural networks, and increasingly complex computational architectures. Despite these advances, many autonomous robotic systems continue to rely on iterative search, repeated optimization, and computationally expensive decision-making procedures.This book presents a complementary deterministic (non-iterative) perspective for autonomous robotics. Rather than viewing perception, decision-making, planning, and autonomous behavior primarily as optimization problems, it investigates whether many robotic tasks can be formulated as processes of structural compatibility, admissibility evaluation, equilibrium discovery, and progressive elimination of incompatible alternatives.The proposed framework develops deterministic methodologies for object recognition, environmental representation, autonomous action selection, multi-agent coordination, goal selection, robotic continuity, and hardware-oriented parallel filtering architectures. Throughout the book, compatible solutions emerge through constraint-governed elimination rather than exhaustive search, providing an alternative computational interpretation of intelligent robotic behavior.The objective of this work is not to replace existing machine learning, reinforcement learning, probabilistic robotics, or optimization theory. Instead, it offers a complementary framework that emphasizes interpretability, reproducibility, computational efficiency, operational stability, and energy-conscious autonomous decision-making.Intended for researchers, graduate students, engineers, and practitioners in robotics and artificial intelligence, this book introduces a unified deterministic framework that may stimulate further research into sustainable, computationally efficient, and structurally interpretable autonomous robotic systems.…

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