3 papers
cs.RO2026
FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment
Sebastián Barbas Laina, Simon Boche, Sotiris Papatheodorou +4
Geometrically accurate and semantically expressive map representations have proven invaluable for robot deployment and task planning in unknown environments. Nevertheless, real-tim…
cs.RO2025
OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS
Simon Boche, Jaehyung Jung, Sebastián Barbas Laina +1
To empower mobile robots with usable maps as well as highest state estimation accuracy and robustness, we present OKVIS2-X: a state-of-the-art multi-sensor Simultaneous Localizatio…
cs.RO2025
Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping
Jaehyung Jung, Simon Boche, Sebastián Barbas Laina +1
We propose visual-inertial simultaneous localization and mapping that tightly couples sparse reprojection errors, inertial measurement unit pre-integrals, and relative pose factors…