robotics computer vision intelligent (91 résultats)

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Etat : new. Paperback. Intelligent Robotics with AI and Computer Vision is a hands-on engineering guide to building real autonomous robotic systems that see, think, and act in dynamic environments. It is written for developers and engineers who want to move beyond isolated algorithms and understand how complete robotics systems are designed, integrated, and deployed in practice.Modern robotics is no longer about writing simple control code or running standalone vision models. Real systems combine computer vision, machine learning, sensor fusion, real-time control, and decision-making into a single continuous pipeline. This book focuses on that full pipeline. It shows how each component connects to the next, and how raw sensor data becomes intelligent behavior inside a physical robot.The content is structured around practical implementation. Readers work through the same core technologies used in real robotics systems today, including OpenCV for visual perception, deep learning for object detection and recognition, ROS2 for distributed robotic software architecture, Kalman filtering and sensor fusion for state estimation, and SLAM-based localization and mapping for navigation in unknown environments. These are not treated as abstract concepts, but as working components inside complete robotic systems.A major focus of this book is system integration. Many engineers can implement individual models or algorithms, but struggle when combining them into a stable robotic system. This book addresses that gap directly. It explains how vision systems interact with navigation stacks, how sensor data is synchronized and fused, and how autonomous decision-making layers control robot behavior in real time. The emphasis is on building systems that function reliably under real-world constraints such as noise, latency, uncertainty, and dynamic obstacles.This book is designed for readers who want to build real capabilities in robotics and AI, including: AI and machine learning engineers transitioning into robotics and embodied systemsRobotics developers building autonomous navigation, mapping, or control systemsComputer vision engineers applying perception models in physical environmentsSoftware engineers learning ROS2 and real-time distributed robotics architectureResearchers and students who want practical implementation experience beyond theoryBuilders working on drones, autonomous vehicles, warehouse robots, or intelligent agentsEach concept in the book is grounded in implementation. Readers will not only understand how algorithms like convolutional neural networks, Kalman filters, or SLAM work, but also how they are deployed inside a functioning robotic architecture. The examples are designed to reflect real engineering workflows, where multiple subsystems must run concurrently and interact continuously.The book also emphasizes real-time system thinking. Robotics is not batch processing; it is continuous decision-making under strict timing constraints. A robot must process sensor streams, update its internal state, compute trajectories, and execute control signals without delay. This book teaches how to structure systems that meet those requirements using modular design and event-driven architectures.By the end of the book, readers will be able to design and build an intelligent robotic system capable of visual perception, sensor fusion, autonomous navigation, and adaptive decision-making. More importantly, they will understand how to move from writing individual algorithms to engineering complete autonomous systems that operate reliably in unpredictable environments.This is not a theoretical introduction to robotics. It is a practical engineering reference for building intelligent machines that function in the real Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Paperback. Etat : New. 1st ed. 2022. This volume constitutes the papers of two workshops which were held in conjunctionwith the First International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2020, Virtual Event, in November 4-6, 2020 and Second International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2021, Virtual Event, in October 25-27, 2021.The 11 revised full papers presented in this book were carefully reviewed and selectedfrom 53 submissions.

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Paperback. Etat : new. Paperback. The 93 full papers included in this book were carefully reviewed and selected from 187 submissions. They were organized in topical sections as follows:Part I: Machine Learning in Neuroscience; Functional Evaluation of Neuromotor and Cognitive Disorders; Intelligent Systems for the Study and Support of Youth Mental Health; Socio-Cognitive, Affective and Physiological Computing; Intelligent Systems for Assessment, Treatment, and Assistance in early stages of Alzheimer; Neuroprosthesis, Ethics; and European Culture and Technology Lab;Part II: Machine Learning in Computer Vision and Robotics; Robotics; Bio-Inspired Computing Approaches; Social and Civil Engineering through Human AI Translations; Explainable, Robust and Trustworthy Machine Learning and its Applications; Learning tools to lecture; and Other Applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Taschenbuch. Etat : Neu. Neuware.

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Taschenbuch. Etat : Neu. Neuware - Build robots that can see, understand, map, and navigate the world around them.This practical, project-driven guide takes you from the foundations of robotic vision to the development of complete autonomous navigation systems using ROS2 and OpenCV. Rather than focusing on isolated concepts, you'll build a scalable perception pipeline that evolves chapter by chapter into a fully integrated robotics platform capable of real-time sensing, tracking, mapping, localization, and intelligent decision-making.Starting with camera integration, image processing, and ROS2 communication, you'll learn how to create efficient perception systems, optimize performance, and design robust software architectures for real-world deployment. As the journey progresses, you'll implement object detection, feature tracking, stereo and depth perception, visual odometry, sensor fusion, SLAM, path planning, obstacle avoidance, and autonomous navigation while applying industry-standard engineering practices throughout.Inside, you'll learn how to: - Build high-performance robotic vision pipelines with ROS2 and OpenCV- Process, analyze, and optimize real-time image streams- Implement object detection, tracking, and scene understanding systems- Develop stereo vision and depth-estimation solutions- Perform visual odometry and sensor fusion for improved localization- Construct SLAM systems for mapping and navigation- Design autonomous path-planning and obstacle-avoidance frameworks- Optimize robotics applications for edge devices and embedded platforms- Debug, profile, and deploy production-ready robotic software architecturesWhether you're a student, robotics enthusiast, researcher, or professional engineer, this book provides the practical skills and technical foundation needed to design intelligent robots capable of perceiving their environment and navigating autonomously in complex, dynamic environments.By the end of the book, you'll have the knowledge and hands-on experience to build advanced robotic perception and navigation systems that bridge the gap between theory and real-world autonomous robotics.

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Etat : Brand New. 567 pages. 6.14x1.16x9.21 inches. In Stock.

Taschenbuch. Etat : Neu. Robotics, Computer Vision and Intelligent Systems | First International Conference, ROBOVIS 2020, Virtual Event, November 4-6, 2020, and Second International Conference, ROBOVIS 2021, Virtual Event, October 27-28, 2021, Revised Selected Papers | Péter Galambos (u. a.) | Taschenbuch | Communications in Computer and Information Science | xii | Englisch | 2022 | Springer | EAN 9783031196492 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Etat : new. Paperback. This volume constitutes the proceedings of the 4th International Conference on Robotics, Computer Vision and Intelligent Systems, ROBOVIS 2024, which was held in Rome, Italy, during February 25-27, 2024. The 8 full papers and 21 short papers are presented in this book were carefully reviewed and selected from 33 submissions. They focus on topics on research and development in robotics, computer vision, and intelligent systems. This volume constitutes the proceedings of the 4th International Conference on Robotics, Computer Vision and Intelligent Systems, ROBOVIS 2024, which was held in Rome, Italy, during February 25-27, 2024. The 8 full papers and 21 short papers are presented in this book were carefully reviewed and selected from 33 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes the papers of two workshops which were held in conjunctionwith the First International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2020,Virtual Event, in November 4-6, 2020 andSecond International ConferenceonRobotics, Computer Vision and Intelligent Systems,ROBOVIS 2021,Virtual Event, inOctober 25-27, 2021.The 11 revised full papers presented in this book were carefully reviewed and selectedfrom 53 submissions.