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Thematische Bibliographien / Indoor robotics

Inhaltsverzeichnis

Dissertationen

Auswahl der wissenschaftlichen Literatur zum Thema „Indoor robotics“

Autor: Grafiati

Veröffentlicht am 22. März 2025

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Dissertationen zum Thema "Indoor robotics"

1

Vojta, Jakub. "Bezpečnost provozu mobilních robotů v indoor prostředí." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-232641.

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During cooperation with the Bender Robotics company a need for operational safety assessment of an autonomous mobile robot (AMR) emerged. Operational safety evaluation is a step towards mass production of the studied robot. Market entry of a product requires a string of various actions and safety assessment is one of them. For risk identification and severity rating were used legal requirements, best practice given by standards, FMEA method, experiment and RIPRAN method. Threats, possible scenarios and risks analysis is systematically discussed through all areas of operation of the robot, from

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2

Pettersson, Rasmus. "Continuous localization in indoor shifting environment." Thesis, Uppsala universitet, Fasta tillståndets elektronik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-326270.

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In this Master Thesis different approaches to mobile localization within construction environments are investigated. At first an overview of different sensors commonly used within localization is presented together with different map representations and a system consisting of a laser scanner and wheel encoders is chosen. The hardware is prepared for the open source ROS environment and three different algorithms for localization are tested. Two algorithms, Gmapping and HectorSLAM, used for Simultaneous Localization and Mapping, are compared. The best map is then used by a Monte Carlo localizati

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3

Perko, Eric Michael. "Precision Navigation for Indoor Mobile Robots." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1345513785.

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4

Yang, Yin. "Nonlinear control and state estimation of holonomic indoor airship." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=106573.

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Three full-state optimal controllers are proposed to fulfill the requirements of flying an indoor holonomic airship in real-time, namely, hovering control, set-point control and continuous reference tracking. In the hovering control design, the airship is assumed to be a quasi stationary plant, and an infinite horizon linear quadratic regulator (LQR) operating in again scheduling manner is employed. Meanwhile, a controller based on the state-dependent Riccati equation (SDRE) and ad hoc feedforward compensation is synthesized to tackle the set-point control problem. Lastly, a continuous tracker

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5

Gandhi, Anall Vijaykumar. "An Accuracy Improvement Method for Cricket Indoor Location System." Wright State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1369316496.

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6

Valdmanis, Mikelis. "Localization and navigation of a holonomic indoor airship using on-board sensors." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=97204.

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Two approaches to navigation and localization of a holonomic, unmanned, indoor airship capable of 6-degree-of-freedom (DOF) motion using on-board sensors are presented. First, obstacle avoidance and primitive navigation were attempted using a light-weight video camera. Two optical flow algorithms were investigated. Optical flow estimates the motion of the environment relative to the camera by computing temporal and spatial fluctuations of image brightness. Inferences on the nature of the visible environment, such as obstacles, would then be made based on the optical flow field. Results showed

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7

Szenher, Matthew D. "Visual homing in dynamic indoor environments." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/3193.

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Our dissertation concerns robotic navigation in dynamic indoor environments using image-based visual homing. Image-based visual homing infers the direction to a goal location S from the navigator’s current location C using the similarity between panoramic images IS and IC captured at those locations. There are several ways to compute this similarity. One of the contributions of our dissertation is to identify a robust image similarity measure – mutual image information – to use in dynamic indoor environments. We crafted novel methods to speed the computation of mutual image information with bo

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8

Fernandez, labrador Clara. "Indoor Scene Understanding using Non-Conventional Cameras." Thesis, Bourgogne Franche-Comté, 2020. http://www.theses.fr/2020UBFCK037.

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Les humains sont en mesure d’interpréter l’environnement qui les entourent avec peu d’effort grâce à système visuel très performant. Par analogie, un système de vision capable de recueillir les mêmes informations sur l’environnement est hautement souhaitable en robotique autonome pour effectuer des tâches complexes et ainsi interagir avec les humains.À cet égard, nous nous sommes particulièrement intéressés aux environnements intérieurs, dans lesquels les humains passent presque toute leur vie. Dans ce travail, pour faire une analyse efficace et rapide des scènes, nous avons opté pour l’utilis

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9

Xiao, Zhuoling. "Robust indoor positioning with lifelong learning." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:218283f1-e28a-4ad0-9637-e2acd67ec394.

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Indoor tracking and navigation is a fundamental need for pervasive and context-aware applications. However, no practical and reliable indoor positioning solution is available at present. The major challenge of a practical solution lies in the fact that only the existing devices and infrastructure can be utilized to achieve high positioning accuracy. This thesis presents a robust indoor positioning system with the lifelong learning ability. The typical features of the proposed solution is low-cost, accurate, robust, and scalable. This system only takes the floor plan and the existing devices, e

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10

Selin, Magnus. "Efficient Autonomous Exploration Planning of Large-Scale 3D-Environments : A tool for autonomous 3D exploration indoor." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-163329.

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Exploration is of interest for autonomous mapping and rescue applications using unmanned vehicles. The objective is to, without any prior information, explore all initially unmapped space. We present a system that can perform fast and efficient exploration of large scale arbitrary 3D environments. We combine frontier exploration planning (FEP) as a global planning strategy, together with receding horizon planning (RH-NBVP) for local planning. This leads to plans that incorporate information gain along the way, but do not get stuck in already explored regions. Furthermore, we make the potential

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