by Simon Höckerbo | Dec 9, 2025
PI: Michael Doggett, Lund University co-PI: Jonas Unger, Linköping University Real-time rendering technology underlies all interactive 3D visual experiences on all displays across all modern computing devices and output modalities. Numerous industrially and societally...
by Simon Höckerbo | Dec 9, 2025
PI: Zheng Chen, Linköping University co-PI: Michael Lentmaier, Lund University Federated learning (FL) is a distributed learning paradigm where multiple agents collaborate to solve a common learning task by conducting local training and exchanging model updates with a...
by Simon Höckerbo | Dec 9, 2025
PI: Eren Erdal Aksoy, Lund University co-PI: Gustaf Hendeby, Linköping University Autonomous robots require robust perception and navigation in adverse environments where sensors like LiDAR, RADAR, and RGB-D cameras often fail or degrade. We propose MOUSE, a novel...
by Simon Höckerbo | Dec 9, 2025
PI: Farnaz Adib Yaghmaie, Linköping University co-PI: Yiannis Karayiannidis, Lund University Mobile manipulation, i.e., manipulation tasks performed by robots that can move through and interact with large, unconstrained environments, requires learning methods that go...
by Simon Höckerbo | Nov 11, 2025
PI: Kalle Åström, Lund University co-PI: Fredrik Gustafsson, Linköping University Tracking and mapping systems are central to many technologies, from wildlife monitoring and search-and-rescue to autonomous vehicles and industrial safety. They typically consist of a...
