Débora N. P. Oliveira — accepted AI-conference papers

2025

FlowNav: Combining Flow Matching and Depth Priors for Efficient Navigation

Samiran Gode, Abhijeet Nayak, Débora N. P. Oliveira, Michael Krawez, Cordelia Schmid, Wolfram Burgard

IROS 2025

Effective robot navigation in unseen environments is a challenging task that requires precise control actions at high frequencies. Recent advances have framed it as an image-goal-conditioned control problem, where the robot generates navigation actions using frontal RGB images. Current state-of-the-

Cited by 8 Source ↗Scholar ↗

2025

REGRACE: A Robust and Efficient Graph-based Re-localization Algorithm using Consistency Evaluation

Débora N. P. Oliveira, Joshua Knights, Sebastián Barbas Laina, Simon Boche, Wolfram Burgard, Stefan Leutenegger

IROS 2025

Loop closures are essential for correcting odometry drift and creating consistent maps, especially in the context of large-scale navigation. Current methods using dense point clouds for accurate place recognition do not scale well due to computationally expensive scan-to-scan comparisons. Alternativ

Cited by 1 Source ↗Scholar ↗