Projects
Robust robot grasping of heterogeneous objects KU Leuven
In the last decade, due to several factors such as the increasing cost of human labour, the spread of automation and the decreasing cost of robotic systems, impressive advancements have been made in grasping devices. Therewith, facilitating further automation of daily tasks in diverse application domains, ranging from industrial production processes, logistics, agriculture, medical, end-of-life up to household and healthcare applications. ...
Highly efficient and robust zero-carbon emission engines using directly-injected, spark-ignited hydrogen KU Leuven
Highly efficient and robust carbon-free emission engines using direct-injection, spark-ignited hydrogen VIVES
Robust inference techniques based on resampling KU Leuven
Linear regression is the most famous type of regression analysis in statistics. A statistical analysis of a linear regression model usually begins with estimation of the regression coefficients and continues with measuring the accuracy of the estimators. Unfortunately, it is well known that a traditional statistical analysis based on the least squares principle is very sensitive to outliers in the data. Although many robust estimators have ...
Robust techniques for functional data and generalized linear models KU Leuven
Robust estimators are indispensable tools in statistics. Frequently, a (small) part of the data sample follows a different pattern as the majority of the data or even no pattern at all. Such atypical observations are called outliers. They may be simple gross errors such as measurement errors or copying mistakes. However, they may also be observations governed by different laws or indicate subgroups or structures in the data sample.
Two ...
Passenger Robust Timetables for Dense Railway Networks KU Leuven
Delays and unreliable travel times are daily practice and unavoidable in public transport. Furthermore, manual decisions are still omnipresent in planning processes and real time dispatching. Nevertheless, the planning of public transport affects the performance and the popularity of these transport modes and the sustainability of the transport system as a whole. Therefore, investigating how public transport can benefit from decision support ...
Robust Optimization with Decision Dependent Uncertainty KU Leuven
The optimization of public bus transport through Robust Line Planning KU Leuven
In this research, we will focus on the robustness of public bus services. The idea is to incorporate robustness in the design phase of a public bus service network. This means we optimise the travel time for users in practice. This differs from the usual approach since we accept that small delays and disturbances happen and take them into account when doing our line planning. Creating a bus service contains four steps: determining the demand, ...
Towards a more robust treatment of discrete-time stochastic processes: developing a theoretical framework for working with imprecise probabilities in Markov chains Ghent University
We aim to develop a theoretical framework, and efficient algorithms, for imprecise discrete-time Markov chains. The imprecision relates to the parameters of the model, which need not be specified exactly. This leads to more robust and reliable results. The motivation stems from the popularity of
traditional Markov chains, and from society’s increasing demand for features such as robustness and reliability.