Searched for: contributor:"Kober, Jens (graduation committee)"
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van Schooten, Karin (author)
As e-commerce continues to grow, warehouses face the challenge of keeping up with product flows. Vanderlande provides a pick-and-place robot (SIR) that helps in improving capacity. However, SIR's capacity is limited by its vacuum gripper and its inability to solve failures. The aim of this thesis is to improve SIR by adding a second gripper and...
master thesis 2020
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van der Heijden, Bas (author)
Three bias estimation frameworks are presented that mitigate position-dependent ranging errors often present in ultra-wideband localization systems. State estimation and control are integrated, such that the positioning accuracy improves over iterations. The frameworks are experimentally evaluated on a quadcopter platform. Two state augmentation...
master thesis 2019
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Khan, Tiamur (author)
Visual surveillance technologies are increasingly being used to monitor public spaces. These technologies process the recordings of surveillance cameras. Such recordings contain depictions of human actions such as "running", "waving", and "aggression". In the field of computer vision, automated detection of human actions in videos is known as...
master thesis 2019
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Hjartarson, Daníel (author)
Multivariate images are built up by measuring multiple features or variables simultaneously while recording a measurement’s location. An example of such images is Imaging Mass Spectrometry (IMS) data. IMS is a technique for recording the mass-over-charge ratio of molecules in (biological) samples while also recording the molecules’ spatial...
master thesis 2019
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Holten, Bas (author)
In-Wheel Motor (IWM) vehicle design introduces a lot of benefits for manufacturers. However, it also decreases the ride comfort in the mid-range of perceivable frequencies. The Unsprung Negative Skyhook (UNS) damper control method offers ride comfort improvement in the same frequency range but has its limitations. This thesis proposes two...
master thesis 2019
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Freiherr von der Goltz, Julian (author)
Aircraft inspections after unexpected incidents, like lightning strikes, currently require a timeconsuming and costly inspection process, due to the small size of the lightning strike damages. Mainblades Inspections is working on an automated, drone-based solution, that scans the aircraft hull with a high-resolution camera. The objective of this...
master thesis 2019
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Valentini, Carlo (author)
Machine Learning Control is a control paradigm that applies Artificial Intelligence methods to control problems. Within this domain, the field of Reinforcement Learning (RL) is particularly promising, since it provides a framework in which a control policy does not have to be programmed explicitly, but can be learned by an intelligent controller...
master thesis 2019
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Hoeba, Nirul (author)
Joint limits and singularities limit the total and intuitive utilization of the robotic workspace in VR mediated teleoperation. This paper presents the development and validation of a novel null-space projection control method, used to adjust joint configurations of teleoperated robot arms containing joint limits and singularities. The novel...
master thesis 2019
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El Doori, Isa (author)
The ability to locate specific objects within images is an essential step in various computer vision based engineering applications. Image segmentation is the task of dividing an image into "segments" that are uniform as well as homogeneous with respect to some characteristics, for example grey tone or texture as in Haralick et al. This thesis...
master thesis 2019
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Bos, Evert (author)
With an in vehicle camera many different things can be done that are essential for ADAS or autonomous driving mode in a vehicle. First, it can be used for detection of general objects, for example cars, cyclists or pedestrians. Secondly, the camera can be used for traffic light recognition, which is localization of traffic light position and...
master thesis 2019
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Greevink, Thijs (author)
This thesis tests the hypothesis that distributional deep reinforcement learning (RL) algorithms get an increased performance over expectation based deep RL because of the regularizing effect of fitting a more complex model. This hypothesis was tested by comparing two variations of the distributional QR-DQN algorithm combined with prioritized...
master thesis 2019
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Jargot, Dominik (author)
Nowadays, autonomous driving is a trending topic in the automotive field. One of the most crucial challenges of autonomous driving research is environment perception. Currently, many techniques achieve satisfactory performance in 2D object detection using camera images. Nevertheless, such 2D object detection might be not sufficient for autonomous...
master thesis 2019
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de Jong, Tobias (author)
Enabling mobile robots to autonomously navigate complex environments is essential for real-world deployment in commercial, industrial, military, health care, and domestic settings. Prior methods approach this problem by having the robot maintain an internal map of the world and then use a localization and planning method to navigate through the...
master thesis 2019
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Irawan, Angga (author)
Controller synthesis techniques based on symbolic models or discrete abstractions are becoming increasingly attractive as they allow for synthesizing correct-by-design controllers of general nonlinear systems under complex behavioral requirements. However, its immense size as the consequence of the state-space explosion prohibits the approach to...
master thesis 2018
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Duan, Wen Jie (author)
Planning grasp poses for a robot on unknown objects in cluttered environments is still an open problem. Recent research suggests that deep learning technique is a promising approach to plan grasp poses on unknown objects in cluttered environments. In this field, three types of data are used for training: (a) human labeled data; (b) synthetic...
master thesis 2018
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Tsutsunava, Nick (author)
Kinodynamic planning is motion planning in state space and aims to satisfy kinematic and dynamic constraints. To reduce its computational cost, a popular approach is to use sampling based methods such as RRT with off-line machine learning for estimating the steering cost and inputs. However, scalability and robustness are still open challenges...
master thesis 2018
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van Ramshorst, Arjan (author)
Knowledge on adversaries during military missions at sea heavily influences decision making, making identification of unknown vessels an important task. Identification of surrounding vessels based on visual data offers an alternative to AIS information (Automatic Identification System), the current standard in vessel identification, which can be...
master thesis 2018
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Wymenga, Jan (author)
This work presents a multi-sensor approach for weather condition estimation in automated vehicles. Using combined data from weather sensors (barometer, hygrometer, etc) and an in-vehicle camera, a machine learning and computer vision framework is employed to estimate the current weather condition in realtime and in-vehicle. The use of different...
master thesis 2018
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Cassee, Kes (author)
Fleet Cleaner B.V. is a company that specializes in the cleaning of ship hulls of oceanic trade vessels using a mobile robot. The mobile robot mainly operates out of sight of the operator, making accurate localization of the robot crucial to its operation. However, the absence of absolute localization and sources for error build-up like wheel...
master thesis 2018
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van der Arend, Dennis (author)
Traditionally a wind turbine’s power curve is used to model the long-term energy yield of the wind turbine and afterwards assess the performance of the turbine (power curve verification). But the current power curve is typically univariate: only dependent on the wind speed and slightly adjusted for site density, turbulence intensity and wind...
master thesis 2018
Searched for: contributor:"Kober, Jens (graduation committee)"
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