Introduction to self-driving vehicle technology, Sjafrie, Hanky (sgec, Munich, Germany)
Автор: Timbers, Tiffany-anne (university Of British Colum Название: Data science ISBN: 0367524686 ISBN-13(EAN): 9780367524685 Издательство: Taylor&Francis Рейтинг: Цена: 7501.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and cleaning, create effective visualizations, and extract insights from data using supervised predictive models.
Автор: Winfield Alan Название: Robotics: A Very Short Introduction ISBN: 0199695989 ISBN-13(EAN): 9780199695980 Издательство: Oxford Academ Рейтинг: Цена: 1582.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Robotics is a key technology in the modern world. Yet, despite these successes, robots have failed to live up to the predictions of the 1950s and 60s. In this Very Short Introduction, Alan Winfield considers how robotics can be both a success story and a disappointment, and how robots can be both ordinary and quite remarkable.
Автор: Gupta N., Mangla R. Название: Artificial Intelligence Basics: A Self-Teaching Introduction ISBN: 1683925165 ISBN-13(EAN): 9781683925163 Издательство: Неизвестно Рейтинг: Цена: 6620.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, this book begins with its history, the Turing test, and early applications. Later chapters cover the basics of searching, game playing, and knowledge representation. Expert systems and machine learning are also covered in detail.
Автор: Wooldridge, Michael Название: Introduction to multiagent systems ISBN: 0470519460 ISBN-13(EAN): 9780470519462 Издательство: Wiley Рейтинг: Цена: 9021.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The eagerly anticipated updated resource on one of the most important areas of research and development: multi-agent systems Multi-agent systems allow many intelligent agents to interact with each other, and this field of study has advanced at a rapid pace since the publication of the first edition of this book, which was nearly a decade ago.
Автор: Murphy, Robin R. Название: Introduction to ai robotics ISBN: 0262133830 ISBN-13(EAN): 9780262133838 Издательство: Wiley Рейтинг: Цена: 10296.00 р. Наличие на складе: Поставка под заказ.
Описание:
A comprehensive introduction to the AI approach to robotics, combining theoretical rigor and practical applications; with case studies and exercises.
This text covers all the material needed to understand the principles behind the AI approach to robotics and to program an artificially intelligent robot for applications involving sensing, navigation, planning, and uncertainty. Robin Murphy is extremely effective at combining theoretical and practical rigor with a light narrative touch. In the overview, for example, she touches upon anthropomorphic robots from classic films and science fiction stories before delving into the nuts and bolts of organizing intelligence in robots.
Following the overview, Murphy contrasts AI and engineering approaches and discusses what she calls the three paradigms of AI robotics: hierarchical, reactive, and hybrid deliberative/reactive. Later chapters explore multiagent scenarios, navigation and path-planning for mobile robots, and the basics of computer vision and range sensing. Each chapter includes objectives, review questions, and exercises. Many chapters contain one or more case studies showing how the concepts were implemented on real robots. Murphy, who is well known for her classroom teaching, conveys the intellectual adventure of mastering complex theoretical and technical material. An Instructor's Manual including slides, solutions, sample tests, and programming assignments is available to qualified professors who are considering using the book or who are using the book for class use.
Автор: Xinjie Yu; Mitsuo Gen Название: Introduction to Evolutionary Algorithms ISBN: 184996128X ISBN-13(EAN): 9781849961288 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction to Evolutionary Algorithms presents a comprehensive, up-to-date overview of evolutionary algorithms. Readers will find a discussion of hot topics in the field, including genetic algorithms, differential evolution, swarm intelligence, and artificial immune systems.
Автор: Genta Название: Introduction to the Mechanics of Space Robots ISBN: 9400717954 ISBN-13(EAN): 9789400717954 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based on lecture notes on a space robotics course, this book offers a pedagogical introduction to the mechanics of space robots. After presenting an overview of the environments and conditions space robots have to work in, the author discusses a variety of manipulatory devices robots may use to perform their tasks. This is followed by a discussion of robot mobility in these environments and the various technical approaches. The last two chapters are dedicated to actuators, sensors and power systems used in space robots.This book fills a gap in the space technology literature and will be useful for students and for those who have an interest in the broad and highly interdisciplinary field of space robotics, and in particular in its mechanical aspects.
Автор: Perros, Harry G. Название: An Introduction to IoT Analytics ISBN: 0367686317 ISBN-13(EAN): 9780367686314 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers techniques that can be used to analyze data from IoT sensors and also addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so that one can learn how to apply these tools in practice with a good understanding of their inner workings.
Автор: Pardos-gotor, Jose M. Название: Screw theory in robotics ISBN: 1032107367 ISBN-13(EAN): 9781032107363 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Screw theory is an effective and efficient method used in robotics applications. This book demonstrates how to implement screw theory, explaining the key fundamentals and real-world applications using a practical and visual approach. An essential tool for those involved in the development of robotics implementations, the book uses case studies to analyze mechatronics. Screw theory offers a significant opportunity to interpret mechanics at a high level, facilitating contemporary geometric techniques in solving common robotics issues. Using these solutions results in an optimized performance in comparison to algebraic and numerical options. Demonstrating techniques such as six-dimensional (6D) vector notation and the Product of Exponentials (POE), the use of screw theory notation reduces the need for complex algebra, which results in simpler code, which is easier to write, comprehend, and debug. The book provides exercises and simulations to demonstrate this with new formulas and algorithms presented to aid the reader in accelerating their learning. By walking the user through the fundamentals of screw theory, and by providing a complete set of examples for the most common robot manipulator architecture, the book delivers an excellent foundation through which to comprehend screw theory developments. The visual approach of the book means it can be used as a self-learning tool for professionals alongside students. It will be of interest to those studying robotics, mechanics, mechanical engineering, and electrical engineering.
Автор: Leetaru Название: Data Mining Methods for the Content Analyst ISBN: 0415895138 ISBN-13(EAN): 9780415895132 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences. In this comprehensive guide, author and research scientist Kalev Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced users alike. Designed as an instructive reference to computer-based analysis approaches, each chapter of this resource explains a set of core concepts and analytical data mining strategies, along with detailed examples and steps relating to current data mining practices. Every technique is considered with regard to context, theory of operation and methodological concerns, and focuses on the capabilities and strengths relating to these technologies. In addressing critical methodologies and approaches to automated analytical techniques, this work provides an essential overview to a broad innovative field.
Автор: Oliver Kramer Название: A Brief Introduction to Continuous Evolutionary Optimization ISBN: 3319034219 ISBN-13(EAN): 9783319034218 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces heuristics and algorithms for black box optimization with evolutionary algorithms in continuous solution spaces. It presents heuristic extensions that allow optimization in constrained, multimodal and multi-objective solution spaces.
Описание: UX Topics in Automated Driving.- Shut Up and Drive? User Requirements for Communication Services in Autonomous Driving.- Towards User-Focused Vehicle Automation: the Architectural Approach of the AutoAkzept Project.- In the Passenger Seat: Differences in the Perception of Human vs. Automated Vehicle Control and Resulting HMI Demands of Users.- Ambivalence in Stakeholders' Views on Connected and Autonomous Vehicles.- User Perception and the Effect of Forms and Movements in Human-Machine Interaction Applying Steer-by-Wire for Autonomous Vehicles.- Human-Systems Integration for Driving Automation Systems: Holistic Approach for Driver Role Integration and Automation Allocation for European Mobility Needs.- Affective Use Cases for Empathic Vehicles in Highly Automated Driving: Results of an Expert Workshop.- A Pilot Study on the Dynamics of Online Risk Assessment by the Passenger of a Self-Driving Car among Pedestrians.- Fluid Interface Concept for Automated Driving.- Human Factor Considerations on Timing of Driver Taking Over in Automated Driving Systems: A Literature Review.- Gender Differences in Simulation Sickness in Static vs. Moving Platform VR Automated Driving Simulation.- Measures for Well-being in Highly Automated Vehicles: The Effect of Prior Experience.- A Filed Study of External HMI for Autonomous Vehicles When Interacting with Pedestrians.- Designing In-Vehicle Experiences.- Evaluating HMI-Development Approaches from an Automotive Perspective.- Smart and Seamless: Investigating User Needs and Recognition for Smartphone-Automobile Interactive Features.- The More You Know, the More You Can Trust: Drivers' Understanding of the Advanced Driver Assistance System.- An Introduction to a Psychoanalytic Framework for Passengers' Experience in Autonomous Vehicles.- Weaving Social Networks from Smart Card Data: An On-Journey-Accompanying Approach.- Effective Alerts for Autonomous Solutions to Aid Drivers Experiencing Medical Anomalies.- Complexity in In-vehicle Touchscreen Interaction: A Literature Review and Conceptual Framework.- The Effects of Collision Avoidance Warning Systems on Driver's Visual Behaviors.- Acceptance and Diffusion of Services based on Secure Elements in Smartphones - Study Design and First Results of the Pretests.- Ontology for Mobility of People with Intellectual Disability: Building a basis of Definitions for the Development of Navigation aid Systems.- The Effect of Multiple Visual Variables on Size Perception in Geographic Information Visualization.- Research on Innovative Vehicle Human-Machine Interaction System and Interface Level Design.- Age-related Differences in the Interaction with Advanced Driver Assistance Systems - A Field Study.- Using Augmented Reality to Mitigate Blind Spots in Trucks.- Range InSight - Visualizing Range-Related Information in Battery Electric Buses.- Investigating the Benefits of Haptic Feedback during In-Car Interactions in Virtual Reality.- A fluid-HMI approach for Haptic Steering Shared Control for the HADRIAN Project.- BLOKCAR: a Children Entertainment System to Enrich and Enhance Family Car Travel Experience.- Influence of Position and Interface for Central Control Screen on Driving Performance of Electric Vehicle.
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