Roberto J. López-Sastre — accepted AI-conference papers

2026

ROOM-3D: Real-Time Unsupervised Online 3D Room Segmentation

Rafael Flor Rodríguez-Rabadán, Carlos Gutiérrez Álvarez, Alexis Bañuls-González, Sergio Lafuente-Arroyo, Saturnino Maldonado-Bascón, Roberto J. López-Sastre

ICRA 2026poster

Room-level understanding is essential for mobile robots operating in unseen indoor environments. Existing room segmentation methods predominantly assume an offline setting, typically requiring a complete scene reconstruction before producing the final result, which limits their applicability to real…

Cited by 0 Scholar ↗

2026

Robust Localization in Large-Scale Symmetric Environments through Dynamic Topological Mapping

Rafael Flor Rodríguez-Rabadán, Sergio Lafuente-Arroyo, Saturnino Maldonado-Bascón, Carlos Gutiérrez Álvarez, Roberto J. López-Sastre

ICRA 2026poster

Visual place recognition in large-scale, indoor environments often suffers from perceptual aliasing due to structural symmetries and dynamic changes. This work presents a robust hierarchical topological mapping framework designed for long-term robot autonomy. Our system integrates multi-modal data (…

Cited by 0 Scholar ↗

2018

In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization

Carlos Herranz-Perdiguero, Carolina Redondo-Cabrera, Roberto J. López-Sastre

IROS 2018poster

While there has been significant progress in solving the problems of image pixel labeling, object detection and scene classification, existing approaches normally address them separately. In this paper, we propose to tackle these problems from a bottom-up perspective, where we simply need a semantic…

Cited by 12 Source ↗Scholar ↗