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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
We propose a method for estimating the 3D position of a target point, given multiple measurements of it, using mm-wave radar data. Given azimuth headings and range estimates from posed radar positions, we find the 3D position, using an approximate, but geometrically and statistically meaningful cost. The 3D position is found in an optimal way, using this approximate cost. By deriving the Lagrangia
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
In collaboration with GAGGENAU, the Master’s students from the Industrial Design program at Lund University School of Industrial Design delve into a diverse array of themes ranging from — Fire, Nomad Luxury, Kitchen Manifesto, and personal explorations. This collaboration challenges the designers to reinterpret fundamental concepts of living, cooking, and luxury within a modern context.Through the
https://www.industridesign.lth.se/en/lusid-x-gaggenau - 2026-09-19
The newsletters are sent every other week and contain either news and information about relevant events or important internal updates. If you’ve missed an issue or can’t find it in your inbox, you can always read the newsletters on this webpage.Feel free to contact the newsletter editor, Peter Kjällkvist, if you have any feedback or suggestions for content. LUSEM Messages LUSEM Messages 2026:5, 4
https://www.lusem.lu.se/internal/news/lusem-staff-news - 2026-09-19
https://www.ai.lu.se/education/courses - 2026-09-19
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
Heusala, Anna-Liisa, Kaarina Aitamurto, and Sherzod Eraliev. (2024). ‘Introduction: The Mutual Impact of Global Migration and Illiberalism in Russia, Eurasia, and Eastern Europe’. In Global Migration and Illiberalism in Russia, Eurasia, and Eastern Europe, edited by Anna-Liisa Heusala, Kaarina Aitamurto, and Sherzod Eraliev, 1–34. Helsinki: Helsinki University Press.https://doi.org/10.33134/HUP-26
https://www.norca.lu.se/publications-1/book-chapters - 2026-09-19
https://www.norca.lu.se/mars/book-chapters - 2026-09-19
Doctoral student Contact details Email: yael [dot] bartana [dot] 7044 [at] khm [dot] lu [dot] seOrganisation Malmö Art Academy WebpageYael Bartanas profile in Lund University research portalYael Bartana is an Israeli artist, filmmaker and photographer, whose past works have encompassed multiple mediums, including photography, film, video, sound, and installation. Many of her pieces feature politic
https://www.khm.lu.se/en/yael-bartana - 2026-09-20
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
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
