Search results

https://www.ehl.lu.se/sites/ehl.lu.se/files/2025-02/Tentaschema%20VT%202025%20%20februari%20-%20augusti%202025%20extern%20hemsida%202025-02-11.pdf - 2026-11-02

https://www.ehl.lu.se/sites/ehl.lu.se/files/2025-05/Tentaschema%20VT%202025%20%20februari%20-%20augusti%202025%20extern%20hemsida%202025-05-13.pdf - 2026-11-02

https://www.ehl.lu.se/sites/ehl.lu.se/files/2025-04/Tentaschema%20VT%202025%20%20februari%20-%20augusti%202025%20extern%20hemsida%202025-04-03.pdf - 2026-11-02

The integration of machine learning (ML) into software operations (MLOps) has significantly increased the demand for data to train and test models, making data sharing and reuse essential to mitigate the high costs of data collection and preprocessing. This study aims to advance the understanding of data sharing within an MLOps context by examining the establishment and governance of a data ecosys

Digital control systems introduce unavoidable computational latencies. For some controllers this time delay inhibits practical use, even though they in theory could provide more efficient control. For example, solving an optimization problem each sampling period when using model predictive control. By sampling faster than the computation time and executing independent controllers on distributed ha

Ensuring functional safety is crucial for the deployment of autonomous systems in real-life dynamic environments, as they must operate reliably and safely among humans. However, existing safety systems are designed with a closed-world assumption and can over-constrain the system by shutting down the robot at every safety violation, limiting the robot’s ability to complete its tasks. To address thi

Motivated by the well established idea that collective wisdom is greater than that of an individual, we propose a novel learning dynamics as a sort of companion to the Abelson model of opinion dynamics. Agents are assumed to make independent guesses about the true state of the world after which they engage in opinion exchange leading to consensus. We investigate the problem of finding the optimal

Quadruped robots are currently a widespread platform for robotics research, thanks to powerful Reinforcement Learning controllers and the availability of cheap and robust commercial platforms. However, to broaden the adoption of the technology in the real world, we require robust navigation stacks relying only on low-cost sensors such as depth cameras. This paper presents a first step towards a ro

In this work, we study the problem of estimating the in-ear sound field using microphone measurements at nearby positions. Typically, the sound field is first interpolated to the position of the head under free-field assumptions, followed by filtering through pre-measured head-related transfer functions (HRTFs). While properties of free-field interpolation methods have been well studied with respe

https://www.fageltaxering.lu.se/sites/fageltaxering.lu.se/files/2026-03/Haas2025-H%C3%B6strastande%20och%20%C3%B6vervintrande%20g%C3%A4ss%20i%20Sverige%202024-2025.pdf - 2026-11-02

https://www.sam.lu.se/sites/sam.lu.se/files/2025-11/SamFak_yttrande_SOU%202025-31_Ju202500838_Utm%C3%B6nstring%20av%20permanent%20uppeh%C3%A5llstillst%C3%A5nd_V%202025%201065.pdf - 2026-11-02

The application of Agent-Based Modeling and Simulation (ABMS) has few established guidelines and often suffers from insufficient model documentation. We assess the prevalence of best practices associated with different types of model documentation in light of the European Union's AI Act (AI Act). Our analysis reveals that best practices are often implemented together but ultimately reinforce the p

https://www.ehl.lu.se/sites/ehl.lu.se/files/2025-06/Tentaschema%20HT%202025%20%20september%20-%20januari%202026%20extern%20hemsida%202025-06-13.pdf - 2026-11-02

https://www.ehl.lu.se/sites/ehl.lu.se/files/2025-06/Tentaschema%20HT%202025%20%20september%20-%20januari%202026%20extern%20hemsida%202025-06-17.pdf - 2026-11-02

https://www.sam.lu.se/sites/sam.lu.se/files/2025-11/A2025-00432_Lunds%20universitet_SamFak_SOU%202025-28_Frihet%20fr%C3%A5n%20v%C3%A5ld.pdf - 2026-11-02

https://www.sam.lu.se/sites/sam.lu.se/files/2025-11/Lunds%20universitet_SamFak_yttrande_S2025-00629__jobbpremien%20ett%20incitament_V%202025-815.pdf - 2026-11-02

Collaborating with highly skilled professionals in participatory design of machine learning (ML) and visualization tools presents unique challenges. This paper reflects on interdisciplinary projects involving medicine, biology, and the social sciences, where ML was introduced to support complex data analysis and segmentation tasks, sometimes from the outset and other times as a later addition. Des

Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time

Permanent Magnet Synchronous Motor (PMSM) is a main component in electrical aircraft and electric vehicles. Due to its advantages, it is gaining the attention of manufacturers. This machine is highly efficient and reliable. It has a high torque to weight ratio. Due to its criticality in application, we need to detect the faults at the initiation stage. The faults associated with PMSM can be electr