4 citations · 13 across the 6 of their papers we have counts for
4 papers · 1 filter
Robust Structure Identification and Room Segmentation of Cluttered Indoor Environments from Occupancy Grid Maps
Matteo Luperto, Tomasz Piotr Kucner, Andrea Tassi +2
Identifying the environment's structure, i.e., to detect core components as rooms and walls, can facilitate several tasks fundamental for the successful operation of indoor autonom…
Predicting Performance of SLAM Algorithms
Matteo Luperto, Valerio Castelli, Francesco Amigoni
Among the abilities that autonomous mobile robots should exhibit, map building and localization are definitely recognized as fundamental. Consequently, countless algorithms for sol…
Exploration of Indoor Environments Predicting the Layout of Partially Observed Rooms
Matteo Luperto, Luca Fochetta, Francesco Amigoni
We consider exploration tasks in which an autonomous mobile robot incrementally builds maps of initially unknown indoor environments. In such tasks, the robot makes a sequence of d…
A Next-Best-Smell Approach for Remote Gas Detection with a Mobile Robot
Riccardo Polvara, Marco Trabattoni, Tomasz Piotr Kucner +3
The problem of gas detection is relevant to many real-world applications, such as leak detection in industrial settings and landfill monitoring. Using mobile robots for gas detecti…