activity
20232026
most citedvS-Graphs: Tightly Coupling Visual SLAM and 3D Scene Graphs Exploiting Hierarchical Scene Understanding

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

EgoMoD: Predicting Global Maps of Dynamics from Local Egocentric Observations

Iacopo Catalano, David Morilla-Cabello, Jorge Pena-Queralta +1

Efficient navigation in dynamic environments requires anticipating how motion patterns evolve beyond the robot's immediate perceptual range, enabling preemptive rather than purely…

cs.RO2026

CHORAL: Traversal-Aware Planning for Safe and Efficient Heterogeneous Multi-Robot Routing

David Morilla-Cabello, Eduardo Montijano

Monitoring large, unknown, and complex environments with autonomous robots poses significant navigation challenges, where deploying teams of heterogeneous robots with complementary…

cs.RO2025★ 1 cited

vS-Graphs: Tightly Coupling Visual SLAM and 3D Scene Graphs Exploiting Hierarchical Scene Understanding

Ali Tourani, Saad Ejaz, Hriday Bavle +4

Current Visual Simultaneous Localization and Mapping (VSLAM) systems often struggle to create maps that are both semantically rich and easily interpretable. While incorporating sem…

cs.RO2024

Towards Map-Agnostic Policies for Adaptive Informative Path Planning

Julius Rückin, David Morilla-Cabello, Cyrill Stachniss +2

Robots are frequently tasked to gather relevant sensor data in unknown terrains. A key challenge for classical path planning algorithms used for autonomous information gathering is…

cs.RO2023

Perceptual Factors for Environmental Modeling in Robotic Active Perception

David Morilla-Cabello, Jonas Westheider, Marija Popovic +1

Accurately assessing the potential value of new sensor observations is a critical aspect of planning for active perception. This task is particularly challenging when reasoning abo…

cs.RO2023

Robust Fusion for Bayesian Semantic Mapping

David Morilla-Cabello, Lorenzo Mur-Labadia, Ruben Martinez-Cantin +1

The integration of semantic information in a map allows robots to understand better their environment and make high-level decisions. In the last few years, neural networks have sho…