1 citations · 1 across the 4 of their papers we have counts for
4 papers
VLMs Can Describe, But Not Measure: Object-Centric Scene Understanding for Robotic Manipulation
Enrico Saccon, Tommaso Faraci, Iñigo De La Ossa Zarzuelo +3
Robotic operation in previously unseen environments requires both semantic understanding and reliable metric information. While vision--language models (VLMs) provide strong semant…
UNSEEN: Uncertainty-aware Navigation via Sparse Estimation in Unknown Environments
Tommaso Faraci, Marco Camurri, Daniele Fontanelli +1
Visual navigation in unknown environments remains a core challenge in mobile robotics, especially for resource-constrained platforms. Most existing approaches rely on loosely coupl…
An Infrastructure-less, Control-Independent Solution to Relative Localisation of a Team of Mobile Robots using Ranging Measurements
Paolo Golinelli, Tommaso Faraci, Daniele Fontanelli
The ability to localise teams of robots is essential for applications ranging from robotic fleets in unstructured environments to cooperative control and navigation tasks. In such…
Reachability-Guaranteed Optimal Control for the Interception of Dynamic Targets under Uncertainty
Tommaso Faraci, Roberto Lampariello
Intercepting dynamic objects in uncertain environments involves a significant unresolved challenge in modern robotic systems. Current control approaches rely solely on estimated in…