ShAreable Mapping using heterogeneoUs sensoRs for collAborative robotIcs – SAMURAI
The ambition of the project is to design new approaches for the long term navigation of a multi-robot system collaborating on a common monitoring tasks,
in a urban or peri-urban environment using heterogeneous sensors in order to facilitate their implementation (reduction of preparation time and costs).
By monitoring task, we intend to collect accurate data in a specific area and for a specific data processing (which depends on the targeted application,
for instance defects detection and following the evolution). The scientific objectives of the project are: (i) to build shareable maps of a complex
environment using high-end heterogeneous sensors (lidar, vision, IMU, GPS, ...); (ii) to utilize the map to perform long term infrastructure monitoring
using collaborative robots having low-end sensors different from the high-end sensors used to build the shareable map; (iii) to update the map when changes are detected using the data collected by the robots with limited sensor capability during their monitoring task. The developed approaches will be validated experimentally on a scenario concerning the monitoring of a building in a urban or peri-urban environment (e.g. a church or an historical building) and the update of the shareable map using ground and aerial robots.
Project coordination
Ezio Malis (Centre de Recherche Inria Sophia Antipolis - Méditerranée)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partner
MIS MODÉLISATION, INFORMATION ET SYSTÈMES - UR UPJV 4290
INRIA Centre de Recherche Inria Sophia Antipolis - Méditerranée
LS2N Laboratoire des Sciences du Numérique de Nantes
Help of the ANR 648,596 euros
Beginning and duration of the scientific project:
January 2022
- 48 Months