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Fetter, Marnix (author)
Indoor positioning systems cannot rely on conventional localization methods, such as GPS, to locate devices because of interference with the structure of buildings. One solution is to use magnetic positioning, which is based on spatial variations in the patterns of the ambient magnetic field. To model magnetic fields, Gaussian process regression...
master thesis 2023
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Vitanov, George (author)
This thesis discusses the chemical composition (basicity) control problem of HIsarna, an experimental iron furnace which operates with 30% less CO2 emissions than its traditional blast furnace counterparts. The control challenge is keeping the basicity of the plant in a narrow operating region. A mass balance model of the plant was constructed -...
master thesis 2022
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Narasimhan, Adithya (author)
Electric vehicles are a fast-growing market in the automotive sector. In addition, the widespread use of renewable energy to power electric vehicles makes them sustainable, with considerably low greenhouse gas emissions. As a result, service providers are switching to fleets of electric vehicles to promote environmental sustainability. However,...
master thesis 2022
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Jonnalagadda, Aravind (author)
Natural Language Processing (NLP) deals with understanding and processing human text by any computer software. There are several network architectures in the fields of deep learning and artificial intelligence that are used for NLP. Deep learning techniques like recurrent neural networks and feed-forward neural networks are used to develop...
master thesis 2022
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Schouten, Job (author)
Logistics and mobility services play a major role in our society, and efficient routing is a crucial part of this. However, even though routing problems have been widely researched, the solutions provided by algorithms do not always match drivers' expectations. Routing costs used by these algorithms are often based on one or a few parameters,...
master thesis 2022
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Dolman, Roemer (author)
The purpose of Supply Chain Management (SCM) is to maximize and stabilize the flow of goods through a supply chain. Disruptions to this flow, such as the Bullwhip Effect (BWE), have become increasingly severe and dynamic, challenging current methods for counteracting these disruptions. This thesis develops a systems and control framework for...
master thesis 2022
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Andretta, Francesca (author)
Cycling is an increasingly attractive transportation mode, thanks to its health and environmental benefits. Personalized travel assistance services can help make cycling more appealing by providing speed or route advices that can reduce travel time and increase safety while taking into account the personal preferences of cyclists. Due to its...
master thesis 2022
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Ranade, Vedang Suhas (author)
Industrial control systems (ICSs) are used widely throughout the world for the control of large, complex industrial plants and consist of the entire setups of control system including sensors, PLCs (Programmable Logic Controllers), actuators and communication devices. The communication between these ICS devices is performed using industrial...
master thesis 2021
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Boot, Bas (author)
For this thesis we have compared communication times of different control schemes on a wireless control network for a water irrigation system. Therefore a control application which can run different protocols was created. We have shown that a significant reduction of communication time can be achieved by using event-triggered control (ETC), and...
master thesis 2021
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Mészáros, Anna (author)
Grasping objects in a smooth humanlike motion, instead of the more typical pick-and-place approach, includes multiple aspects that need to be performed correctly for a successful grasp. These aspects involve moving the end-effector such that its surface makes and retains contact with the object while also coordinating the movement of the gripper...
master thesis 2021
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de Boer, Thies (author)
With modern multi-function radars becoming more flexible, handling the limited amount of resources of these radars becomes increasingly important. In this thesis the radar resource management (RRM) problem in a multi-target tracking scenario is considered. Partially observable Markov decision processes (POMDPs) are used to describe each tracking...
master thesis 2021
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Klaoudatos, Dimitrios (author)
This MSc thesis presents the development of a viewpoint optimization framework to face the problem of detecting occluded fruits in autonomous harvesting. A Deep Reinforcement Learning (DRL) algorithm is developed in order to train a robotic manipulator to navigate to occlusion-free viewpoints of the tomato-target. Two Convolutional Neural...
master thesis 2021
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Benders, Dennis (author)
Recent developments in neuroscience research, mainly introduced by neuroscientist Karl J. Friston, have resulted in a concept called the Free Energy Principle (FEP). The FEP is a brain theory unifying action, perception and learning. An important observation is that autonomous robots have to perform similar tasks to the human brain. Therefore,...
master thesis 2020
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PALANDE, SHREYASH (author)
Substantial efforts are being made to make robots more reliable and safe to work around humans. Robots often perform flawless demos in a controlled environment under the supervision of an operator but tend to fail in the real world when deployed for a long period of time due to faults and environmental disturbances. A robotic system is composed...
master thesis 2020
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Dieben, Bas (author)
Drinking Water Distribution Network (DWDN) vulnerability to disasters yields ever threatening consequences to society. Earthquakes are shown to have devastating effects on these networks, causing multiple pipe breaks and leaks to occur simultaneously. This results in a lack of pressure and unavailability of water for extended time periods....
master thesis 2020
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Samant, Aniket Ashwin (author)
Modern times have seen an increasing use of networked control systems, in which plants and controllers may not necessarily have a direct link but instead be connected through a network, thereby closing control loops over multiple nodes.<br/><br/>The system may also be spread out spatially over a large area, and thus the associated network delays...
master thesis 2020
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Valletta, P. (author)
Interactive machine learning describes a collection of methodologies in which a human user actively participates in a novice agent’s learning process, through providing corrective or evaluate feedback or demonstrative actions. A primary assumption in these methods is that user input is at worst nearoptimal, however a realistic set of...
master thesis 2020
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van Diessen, Martijn (author)
Naval ships need to be able to conduct missions in a variety of circumstances. This includes the ability to fulfil specific tasks in a damaged state. Vulnerability reduction measures are taken during the early stage distributed ship system design process, to ensure the availability of the required systems in damaged state. Traditionally these...
master thesis 2020
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Aarts, Jeremy (author)
Manufacturing processes often run on a schedule, because each production step takes a certain amount of time, after which a component is transported to the next machine. Mobile robots can be used to automate transportation of components between production steps. To do so, a task scheduler assigns transportation tasks to robots and a path planner...
master thesis 2018
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Anil Meera, Ajith (author)
Target search in an obstacle filled environment is a practically relevant challenge in robotics that has a huge impact in the society. The wide range of applications include searching for victims in a search and rescue operation, detecting weeds in precision agriculture, patrolling borders for military and navy, automated census of endangered...
master thesis 2018
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