Searched for: contributor%3A%22Wisse%2C+M.+%28graduation+committee%29%22
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Corvi, Giovanni (author)
The rapidly growing volume of parcel shipments is straining transportation and logistics sectors, highlighting the need for innovative solutions to optimize packing and loading processes. The online bin packing problem (BPP), an NP-hard computational problem, finds practical applications in numerous sectors, including modern packaging and...
master thesis 2024
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Dawe, Alon (author)
master thesis 2024
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Yildiz, Haydar (author)
master thesis 2024
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Xu, Chenghao (author)
In recent years, visual Simultaneous Localization and Mapping (SLAM) have gained significant attention and found wide-ranging applications in diverse scenarios. Recent advances in computer vision and deep learning also enrich visual SLAM capabilities in scene understanding and large-scale operation. However, despite remarkable performance in...
master thesis 2023
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SHI, MOJI (author)
Dynamic obstacle avoidance remains a crucial research area for autonomous systems, such as Micro Aerial Vehicles (MAVs) and service robots. <br/>Efforts to develop dynamic collision avoidance techniques in unknown environments have proliferated in recent years. While these methods exhibit impressive and reliable performance in simpler...
master thesis 2023
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Groote, Gijs (author)
In the field of robotics, consider the following problem scenario: In a robot environment, a simple robot must push objects to reference places while figuring out which objects can be pushed, what the best manipulation strategy is, or which objects are static and cannot be pushed. The problem scenario can be decomposed into three research topics...
master thesis 2023
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Liu, Yuxiang (author)
Machine learning can be effectively applied in control loops to robustly make optimal control decisions. There is increasing interest in using spiking neural networks (SNNs) as the apparatus for machine learning in control engineering, because SNNs can potentially offer high energy efficiency and new SNN-enabling neuromorphic hardwares are being...
master thesis 2023
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van Hilten, Arend-Jan (author)
Modern vehicles have multiple different buses to communicate between components, like CAN (FD) and FlexRay. ZF builds ”innovation vehicles” with new components to showcase and test them. These components are connected to the automotive buses. ZF uses a web-based Human Machine Interface (HMI) to control and view the state of these parts. This HMI...
master thesis 2023
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te Braake, Michiel (author)
Recent developments have enabled the mass production of cheap, high-performance multirotors. As a result of this, the multirotor has found a large variety of different uses. Testing new algorithms using real-life flights is costly in terms of time and potentially in terms of materials in the case of a crash. Simulators have quickly gained...
master thesis 2022
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Knijnenburg, Brenda (author)
A common method to investigate multisensory integration is using multisensory illusions. The rubber hand illusion is one of the best-known multisensory illusion used in clinical applications. By stroking a visible rubber hand and the participant’s occluded hand, the illusion arises that the rubber hand belongs to the participant. Possible...
master thesis 2022
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Verhagen, Joris (author)
Humans and other biological bipedal walkers are extraordinarily agile and robust. This is especially apparent when certain features of the environment are unknown such as unexpected downsteps (for example, suddenly walking off the side-walk or not expecting the last stair when descending). Humans can negotiate these downsteps ---both expected...
master thesis 2022
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van Gruijthuijsen, Coen (author)
Semantic Segmentation of medical images are used to improve diagnosis and treatment. In recent years, the application of machine learning methods are increasingly used. However, the design of these models is difficult and time-consuming. In this thesis, we investigated the automation of this process using an Automated Machine Learning (AutoML)...
master thesis 2021
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Wan, Zixuan (author)
An end-to-end framework is developed to discover physical laws directly from videos, which can help facilitate the study on robust prediction, system stability analysis and gain the physical insight of a dynamic process. In this work, a video information extraction module is proposed to detect and collect the pixel position of moving objects,...
master thesis 2021
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van der Sar, martijn (author)
Pick and place systems that operate in a warehouse setting have been studied a lot recently due to the high economic value for e-commerce companies. In this thesis, the focus is on the perception pipeline that performs object recognition given a certain input data stream (typically RGB-D images). Impressive results regarding object recognition...
master thesis 2021
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Daniel Noel, Alejandro (author)
Intelligent agents must pursue their goals in complex environments with partial information and often limited computational capacity. Reinforcement learning methods have achieved great success by creating agents that optimize engineered reward functions, but which often struggle to learn in sparse-reward environments, generally require many...
master thesis 2021
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Bloks, Bente (author)
The ankle plantar flexion muscles are the main contributors to the propulsion of the body during gait. Deficits in these muscles, such as reduced muscle strength, often lead to impaired walking. A characteristic widely observed in gaits arising from various pathologies is an increase in medio-lateral trunk movements. However, this is not yet...
master thesis 2020
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Luijkx, Jelle (author)
There are many stages that involve humans handling food objects in the processing chains from farms to stores. For some of these tasks it is desirable to look for a robotic solution to either assist the human or even take over that task, e.g. if it is physically demanding, imposes contamination risks or because of economical considerations....
master thesis 2020
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NI, HAO (author)
Glioma is a kind of slow-growing brain tumor which may result in severe seizures. Currently a major tool used to detect and diagnose the glioma is MRI scan. To better analyze the medical image, segmentation is usually conducted as a basic step for further processing, which partitions an integrate image into multiple physically meaningful regions...
master thesis 2020
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Cornet, R. (author)
Fully automated vehicles have the potential to increase road safety and improve traffic flow by taking the human element out of the driving loop. They can also provide mobility to people who are unable to operate a conventional vehicle. Safe automated vehicles must be able to respond in emergency situations or drive on slippery roads in bad...
master thesis 2020
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Iyer, Kunal (author)
In this project, a unique method of combining online learning with model predictive control is applied to autonomous racing. A concern in autonomous racing is that accurate models that encapsulate the dynamics of the vehicle are complex, nonlinear, and difficult to identify. In order to make this more practical for control purposes, the...
master thesis 2020
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