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  1. Pubblicazioni

Robotic Monitoring of Habitats: the Natural Intelligence Approach

Articolo
Data di Pubblicazione:
2023
Citazione:
Robotic Monitoring of Habitats: the Natural Intelligence Approach / Angelini, F.; Angelini, P.; Angiolini, C.; Bagella, S.; Bonomo, F.; Caccianiga, M.; Santina, C. D.; Gigante, D.; Hutter, M.; Nanayakkara, T.; Remagnino, P.; Torricelli, D.; Garabini, M.. - In: IEEE ACCESS. - ISSN 2169-3536. - 11:(2023), pp. 1-1. [10.1109/ACCESS.2023.3294276]
Abstract:
In this paper, we first discuss the challenges related to habitat monitoring and review possible robotic solutions. Then, we propose a framework to perform terrestrial habitat monitoring exploiting the mobility of legged robotic systems. The idea is to provide the robot with the Natural Intelligence introduced as the combination of the environment in which it moves, the intelligence embedded in the design of its body, and the algorithms composing its mind. This approach aims to solve the challenges of deploying robots in real natural environments, such as irregular and rough terrains, long-lasting operations, and unexpected collisions, with the final objective of assisting humans in assessing the habitat conservation status. Finally, we present examples of robotic monitoring of habitats in four different environments: forests, grasslands, dunes, and screes.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Collision avoidance; Environment Monitoring and Management; Environmental monitoring; Europe; Field Robots; Legged locomotion; Legged Robots; Monitoring; Robots; STEM; Vegetation mapping
Elenco autori:
Angelini, F.; Angelini, P.; Angiolini, C.; Bagella, S.; Bonomo, F.; Caccianiga, M.; Santina, C. D.; Gigante, D.; Hutter, M.; Nanayakkara, T.; Remagnino, P.; Torricelli, D.; Garabini, M.
Autori di Ateneo:
BAGELLA Simonetta
Link alla scheda completa:
https://iris.uniss.it/handle/11388/314133
Pubblicato in:
IEEE ACCESS
Journal
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