Add topic "Simultaneous localization and mapping" Accepted
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Add Simultaneous Localisation and Mapping (SLAM): Part I The Essential Algorithms
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- Simultaneous Localisation and Mapping (SLAM): Part I The Essential Algorithms
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- https://www.semanticscholar.org/paper/Simultaneous-Localisation-and-Mapping-(-SLAM-)-%3A-I-Durrant-Whyte-Bailey/666b8959abc3be4d6026f2053711a62119bec4a5
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Add Simultaneous Localisation and Mapping (SLAM): Part II State of the Art
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- Simultaneous Localisation and Mapping (SLAM): Part II State of the Art
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Add Robotics
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- Robotics
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- Robotics is an interdisciplinary research area at the interface of computer science and engineering. Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design intelligent machines that can help and assist humans in their day-to-day lives and keep everyone safe. Robotics draws on the achievement of information engineering, computer engineering, mechanical engineering, electronic engineering and others. Robotics develops machines that can substitute for humans and replicate human actions. Robots can be used in many situations and for many purposes, but today many are used in dangerous environments (including inspection of radioactive materials, bomb detection and deactivation), manufacturing processes, or where humans cannot survive (e.g. in space, underwater, in high heat, and clean up and containment of hazardous materials and radiation).
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- https://en.wikipedia.org/?curid=20903754
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Add Simultaneous localization and mapping
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- Simultaneous localization and mapping
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- In computational geometry, simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. While this initially appears to be a chicken-and-egg problem there are several algorithms known for solving it, at least approximately, in tractable time for certain environments. Popular approximate solution methods include the particle filter, extended Kalman filter, Covariance intersection, and GraphSLAM. SLAM algorithms are used in navigation, robotic mapping and odometry for virtual reality or augmented reality. SLAM algorithms are tailored to the available resources, hence not aimed at perfection, but at operational compliance.
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- https://en.wikipedia.org/?curid=763951
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Add Simultaneous localization and mapping treated in Simultaneous Localisation and Mapping (SLAM): Part I The Essential Algorithms
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Add Simultaneous localization and mapping treated in Simultaneous Localisation and Mapping (SLAM): Part II State of the Art
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Add Simultaneous localization and mapping used by Robotics
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