2 citations · 4 across the 9 of their papers we have counts for
5 papers · 1 filter
TravKAN: Fast and Interpretable Nonlinear Traversability Analysis with Kolmogorov-Arnold Networks
Daniel Fusaro, Simone Mosco, Wanmeng Li +1
Traversability analysis is a fundamental capability for autonomous mobile robots operating in unstructured environments. While modern machine learning approaches such as deep neura…
TACO: A Test and Check Framework for Robust Pose Graph Optimization
Emilio Olivastri, Alberto Pretto, Tobias Fischer
Pose Graph Optimization (PGO) is one of the most widely adopted approaches for solving Simultaneous Localization and Mapping (SLAM) problems. However, PGO approaches are particular…
Multi-Modal 3D Scene Graph Updater for Shared and Dynamic Environments
Emilio Olivastri, Jonathan Francis, Alberto Pretto +2
The advent of generalist Large Language Models (LLMs) and Large Vision Models (VLMs) have streamlined the construction of semantically enriched maps that can enable robots to groun…
A Sonar-based AUV Positioning System for Underwater Environments with Low Infrastructure Density
Emilio Olivastri, Daniel Fusaro, Wanmeng Li +2
The increasing demand for underwater vehicles highlights the necessity for robust localization solutions in inspection missions. In this work, we present a novel real-time sonar-ba…
IPC: Incremental Probabilistic Consensus-based Consistent Set Maximization for SLAM Backends
Emilio Olivastri, Alberto Pretto
In SLAM (Simultaneous localization and mapping) problems, Pose Graph Optimization (PGO) is a technique to refine an initial estimate of a set of poses (positions and orientations)…