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Fastslam: A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics

This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called;

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Simultaneous Localization And Mapping

Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while;

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3D Robotic Mapping

as SLAM (simultaneous localization and mapping). 3D maps are necessary to avoid collisions with complex obstacles and to self-localize;

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Embedded Robotics

This book presents a hardware architecture for the Simultaneous Localization And Mapping (SLAM) problem applied to embedded robots. The;

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Robotic Mapping and Exploration

Robotic Mapping and Exploration is an important contribution in the area of simultaneous localization and mapping (SLAM) for autonomous;

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Reliable Robot Localization

is generally uniform and unstructured, making it difficult to apply Simultaneous Localization and Mapping (SLAM) methods to perform localization;

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Large-Scale Simultaneous Localization and Mapping

This book is dedicated for engineers and researchers who would like to increase the knowledge in area of mobile mapping systems. Therefore;

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Authonomous Domestic Navigation

, cleaning and surveillance tasks or simply entertainment. This book deals with the problem of Simultaneous Localization and Mapping (SLAM). The;

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Collaborative Perception Localization and Mapping for Autonomous Systems

This book presents the breakthrough and cutting-edge progress for collaborative perception and mapping by proposing a novel framework;

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Computational Principles of Mobile Robotics

localization and mapping) and multi-robot systems. It includes additional mathematical background and an extensive list of sample problems. Various;

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Computational Principles of Mobile Robotics

localization and mapping) and multi-robot systems. It includes additional mathematical background and an extensive list of sample problems. Various;

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Multi-Agent Visual-SLAM Algorithms on Autonomous Robots

The Simultaneous Localization and Mapping (SLAM) problem is one of the most challenging problems in robot navigation. The problem addresses;

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State Estimation for Robotics

relaxation, bundle adjustment, and simultaneous localization and mapping. Students and practitioners of robotics alike will find this a valuable;

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Introduction To Autonomous Mobile Robots

discusses all facets of mobile robotics, including hardware design, wheel design, kinematics analysis, sensors and perception, localization, mapping;

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Wireless Power Transmission for Sustainable Electronics

remote health monitoring; simultaneous localization (of robots and objects) and mapping (SLAM); autonomous system of wireless power distribution;

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Unmanned Vehicle Systems for Geomatics

of sensor localization and exploration and mapping of the environment It offers several application cases, from monitoring changes in arctic regions;

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Mobile Intelligent Autonomous Systems

-infinity filter based estimation for simultaneous localization and mapping Where relevant, concepts and theories are illustrated with block/flow;

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Mobile Intelligent Autonomous Systems

-infinity filter based estimation for simultaneous localization and mapping Where relevant, concepts and theories are illustrated with block/flow;

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Global Linguistic Flows

, Australia, the Americas and the European Union - to explore Hip Hop cultures, youth identities, the politics of language, and the simultaneous;

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Global Linguistic Flows

, Australia, the Americas and the European Union - to explore Hip Hop cultures, youth identities, the politics of language, and the simultaneous;

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Globalization, Localization and Violence

Globalization, Localization and Violence is een boek van J. Kloos;

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Enhancing Video Game Localization Through Dubbing

within the context of English-Spanish dubbing, and emphasizes the implications for research and localization as a professional practice. The book;

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Introduction to AI Robotics

locomotion, simultaneous localization and mapping, human-robot interaction, machine learning, and ethics. Each chapter includes exercises, and many;

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Intelligent Robotics and Applications

submissions. The papers are organized in topical sections such as Robot Control; Robot Mechanism, Robot Vision and Sensing; Planning, Localization;

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Intelligent Robotics and Applications

submissions. The papers are organized in topical sections such as Robot Control; Robot Mechanism, Robot Vision and Sensing; Planning, Localization;

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