by Simon Höckerbo | Nov 11, 2025
PI: Håkan Grahn, Blekinge Institute of Technology co-PI: Christoph Kessler, Linköping University co-PI: Flavius Gruian, Lund University Energy consumption is one of the main challenges of today’s AI systems. Most AI systems today are designed using various forms of...
by Simon Höckerbo | Nov 11, 2025
PI: Per-Erik Forssén. Linköping University co-PI: Volker Krüger, Lund University We will improve the safety, reliability, and robustness of Vision–Language–Action (VLA) models for robot control by making them situation-, self-, and ambiguity-aware. Building on recent...
by Simon Höckerbo | Nov 11, 2025
PI: Michael Felsberg, Linköping University co-PI: Anders Heyden, Lund University Learning geometric representations is a project that aims to solve geometric computer vision tasks that occur in many application domains, ranging from autonomous driving to image-based...
by Simon Höckerbo | Nov 11, 2025
PI: Martin Enqvist, Linköping University co-PI: Maria Sandsten, Lund University The outcome of this project will be a set of novel methods for control of hearing assistive devices (HADs) using brain and behavioral signals. In particular, electroencephalography (EEG)...
by Simon Höckerbo | Nov 11, 2025
PI: Claudio Altafini, Linköping University co-PI: Emma Tegling, Lund University This project investigates how opinions and decisions evolve in large networks that include both human participants and AI agents. A central motivation is that social interaction...
