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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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Advances in Physical Agents II

and moving in a dynamic environment. It covers a wide range of topics relating to: autonomous navigation, localization and mapping; mobile and;

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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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Safe Autonomous and Intelligent Vehicles

This book covers the start-of-the-art research and development for the emerging area of autonomous and intelligent systems. In particular;

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Engineering Autonomous Vehicles and Robots

vision, localization, perception, motion planning, and more. Particularly, it covers Computer Vision for active perception and localization, as;

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Environmental Perception Technology for Unmanned Systems

characteristics and main technologies of the sensor. Lastly, it addresses aspects including autonomous path planning, intelligent perception and;

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Environmental Perception Technology for Unmanned Systems

characteristics and main technologies of the sensor. Lastly, it addresses aspects including autonomous path planning, intelligent perception and;

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Robotics

networks as well as such applications as autonomous driving and design of manipulators for use in functional-MRI. The conference and its;

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Creating Autonomous Vehicle Systems

major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating;

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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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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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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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Localization of Mobile Nodes

ofcheap and efficient localization scheme for Robotsare required to provide better results compared toother localization techniques.;

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Autonomous Robots

), manipulation (both arms and hands), localization, navigation, and mapping. The many case studies and specific applications include robots built for;

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Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System

networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with;

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Autonomous Systems - Self-Organization, Management, and Control

of interest include, but are not limited to theory and modeling for autonomous systems; organization of autonomous systems; learning and perception;

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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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Autonomous Underwater Vehicles

achieving this challenging. This book presents cutting-edge results regarding localization, tracking and formation for AUVs, highlighting the latest;

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Unmanned Vehicle Systems for Geomatics

unmanned mapping systems as aerial data collection provides better perspective and coverage of an area, and offers the ability for targeted;

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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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Parallel and Distributed Map Merging and Localization

in localization and map merging, the text also provides the reader with the necessary tools for proposing new solutions to problems of multi-robot;

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Advances in Visual Computing

computational bioimaging, computer graphics; motion, tracking, feature extraction and matching, segmentation, visualization, mapping, modeling and;

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Experimental Robotics

interaction, machine learning, mapping and localization, multi-robots, perception, planning and control. Experimental validation of algorithms;

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Intelligent Components for Autonomous and Semi-Autonomous Vehicles

The IFAC Workshop on Intelligent Components for Autonomous and Semi-Autonomous Vehicles (ICASAV '95) was held in Toulouse, France, 25-26;

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Advances in Automation and Robotics Research

theory, artificial intelligence, kinematic and dynamic analysis of robotic systems, computer vision, self-localization, mapping and navigation;

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Collaborative Computing: Networking, Applications and Worksharing

carefully reviewed and selected from 211 submissions. The papers reflect the conference sessions as follows: Collaborative Applications for Network;

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