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Next generation innovation vehicle HMI system

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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Improving the PX4 software-in-the-loop multirotor UAV simulator accuracy

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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Modeling embodiment during the rubber hand illusion: A dynamical model validated by a time-varied experiment

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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From Human Walking to Bipedal Robot Locomotion: Reflex Inspired Compensation on Expected and Unexpected Downsteps

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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Automated Machine Learning in Medical Image Segmentation

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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Bayesian Deep Learning for Distilling Physical Laws from Videos

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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Zero-shot learning in pick-and-place tasks using neuro-symbolic concept learning

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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Online reinforcement learning with sparse rewards through an active inference capsule

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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The effect of excessive medio-lateral trunk movements on ankle plantar flexor work during gait in healthy individuals

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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Robotic Grasping of Deformable Food Objects: A Human-Inspired Reinforcement Learning Approach

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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Deep Learning for 4D Longitudinal Segmentation of MRI Brain Tissues and Glioma

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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Safe Reinforcement Learning for Automated Vehicles

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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Online Learning of Tire Behaviour combined with MPC for Autonomous Racing

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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Position control of a quadrotor MAV while compensating for discrete jumps in the pose estimate

van Namen, Rick (author)

The trajectory tracking efficiency of a quadrotor Micro Aerial Vehicle (MAV) position controller is decreased by discrete jumps in the pose estimate provided by a localization algorithm. This paper presents a solution to this problem by first introducing a new quadrotor MAV position control architecture followed by two methods that can...

master thesis 2019

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Prediction of Fuel Consumption of Long Haul Heavy Duty Vehicles using Machine Learning and Comparison of the Performance of Various Learning Techniques

Bhoraskar, Akshay (author)

This study aims at a possible solution to predict the fuel consumption of heavy duty diesel trucks, particularly, the tractor semitrailer for their long haul operations using various machine learning techniques. It intends to provide a possible alternative to simulation or physics based models, which often are very complicated. The stringent...

master thesis 2019

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A semi-analytical approach to simulate strains in load sensing bearings using FEA

Ravesloot, Jens (author)

The advancements in driver assistance systems in cars and the development of autonomous vehicles require more states of the car to be known than the conventional sensors can accurately determine. Load sensing bearings (LSBs) are under development that measure the wheel forces under dynamic load. Through sensor fusion, the addition of this sensor...

master thesis 2019

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Automatic Steering Control for Path Following Vehicles: with a focus on higher order sliding mode control

Pandit, Arvind (author)

Among the trends that are going to shape the automotive industry in the coming years, autonomous vehicles stand out as having the potential to completely change the automotive industry as we know it. One of the critical tasks in this framework includes robust execution of the steering control action to maintain a pre-defined path.<br/><br/>The...

master thesis 2019

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The effect of sampling methods on Deep Q-Networks in robot navigation tasks

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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Performance evaluation of the RYSEN: a 3D overground body weight support system

Peuchen, Robert (author)

Body weight support (BWS) systems are widely used in gait rehabilitation. These systems allow patients to gradually increase training intensity and promote independent walking. Currently, there is no standardized method to assess the performance of BWS systems. This work proposes methods and metrics that can be used to assess and compare any...

master thesis 2018

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Design and Evaluation of an Energy-Savig Drive for a Versatile Robotic Gripper

Neven, Job (author)

Nowadays, the number of robotic systems grows enormously. In order to execute their task, many of these robots need a fixturing gripper to grasp and hold objects. To reduce the environmental impact, the operational costs, the size of actuators and to improve the uptime of mobile robots, it becomes increasingly important to design robots for a...

master thesis 2017