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Giannopoulos, Makis (author)
Mobile robots need to be fully autonomous in order to perform their tasks inside their environment. To do that, robots need to have an understanding of their environment, so that they can successfully localize and navigate themselves within it. The understanding of the robots' environment is created by solving the SLAM (Simultaneous Localization...
master thesis 2017
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Roozendaal, R. (author)
Mobile robots need to interact with their environment to perform their tasks. To be successful they often need to know what their surrounding looks like, and where they are located in that surrounding. The act of simultaneously estimating both the state of the robot and the state of the environment is called Simultaneous Localization And Mapping...
master thesis 2016
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Kandasamy, S. (author)
The Simultaneous Localization and Mapping (SLAM) problem for mobile robots aims at consistently building a map of an unknown environment while simultaneously determining its position within this map. From a control-theoretic viewpoint, it is somehow analogous to simultaneously estimating the states and output map of the system. In the robotics...
master thesis 2015