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Performing tasks in the agri-food industry can be complex due to the organic, unstructured environments and natural variation in product. Successfully implementing robotic systems in such contexts is highly dependent on their capacity to adapt to variability, unpredictability and incomplete sensor data. Given the multitude of potential unexpected scenarios, it is no longer satisfactory to create fixed plans and controllers for the robot to address a task. Instead, it is essential to model our knowledge of the task and of the robot's operating environment, which is the central concept referred to as a ‘world model’ (WM). In this chapter, we elaborate on the notion of a WM and demonstrate ...
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This book contains seventeen contributions in the form of independent chapters, covering a broad range of topics related to human–robot interaction at physical and cognitive levels. Each chapter represents a novel piece of work presented during HFR 2022 by researchers in the different areas of robotics, where new theories, methodologies, technologies, challenges, and empirical and experimental studies are discussed. Additionally, this compilation is rich in viewpoints due to the multidisciplinary nature of its authors. Hence, this book represents an excellent opportunity for academics, researchers, and industry partners to get acquainted with the most recent work on human–robot interaction.
Robotic systems consist of object or scene recognition, vision-based motion control, vision-based mapping, and dense range sensing, and are used for identification and navigation. As these computer vision and robotic connections continue to develop, the benefits of vision technology including savings, improved quality, reliability, safety, and productivity are revealed. Robotic Vision: Technologies for Machine Learning and Vision Applications is a comprehensive collection which highlights a solid framework for understanding existing work and planning future research. This book includes current research on the fields of robotics, machine vision, image processing and pattern recognition that is important to applying machine vision methods in the real world.
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'Recipes that are ingeniously creative but so accessible' Eater Featuring over 100 real recipes for real people, Smitten Kitchen Everyday is perfect for people who want to find joy in cooking. Deb Perelman, award-winning blogger and New York Times best-selling author of The Smitten Kitchen Cookbook, understands that a happy discovery in the kitchen has the ability to completely change the course of your day. Whether we're cooking for ourselves, for a date night in, for a Sunday supper with friends, or for family on a busy weeknight, we all want recipes that are unfussy to make with triumphant results. Deb thinks that cooking should be an escape from drudgery. Smitten Kitchen Every Day: Trium...
Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.
The Yearbook of International Organizations provides the most extensive coverage of non-profit international organizations currently available. Detailed profiles of international non-governmental and intergovernmental organizations (IGO), collected and documented by the Union of International Associations, can be found here. In addition to the history, aims and acitvities of international organizations, with their events, publications and contact details, the volumes of the Yearbook include networks between associations, biographies of key people involved and extensive statistical data. Volume 3 allows readers to locate organizations by subjects or by fields of activity and specialization, and includes an index to Volumes 1 through 3.
This book constitutes the refereed proceedings of the 15th European Congress on Digital Pathology, ECDP 2019, held in Warwick, UK in April 2019. The 21 full papers presented in this volume were carefully reviewed and selected from 30 submissions. The congress theme will be Accelerating Clinical Deployment, with a focus on computational pathology and leveraging the power of big data and artificial intelligence to bridge the gaps between research, development, and clinical uptake.