Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Manolo Garabini"'
Autor:
Franco Angelini, Mathew J. Pollayil, Giovanni Rivieccio, Maria Carmela Caria, Simonetta Bagella, Manolo Garabini
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract This data descriptor presents a novel dataset collected using the quadrupedal robot ANYmal C in the Mediterranean coastal dune environment of the European Union (EU) habitats 2110 and 2120 in Sardinia, Italy. The dataset mainly consists of p
Externí odkaz:
https://doaj.org/article/625a4e359bf64b1d829cd1f6a2dcf10e
Autor:
Ramesh krishnan Muttathil Gopanunni, Lorenzo Martignetti, Francesco Iotti, Alok Ranjan, Franco Angelini, Manolo Garabini
Publikováno v:
IEEE Open Journal of the Industrial Electronics Society, Vol 5, Pp 468-480 (2024)
The trend of current robotic research is to develop mobile robots that can perform highly dynamic tasks, which include jumping and running. To be employed profitably, this research necessitates a significant amount of work in the development of innov
Externí odkaz:
https://doaj.org/article/746aab12f8a4455488c85acdbe7b3046
Autor:
Franco Angelini, Mathew J. Pollayil, Barbara Valle, Marina Serena Borgatti, Marco Caccianiga, Manolo Garabini
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023)
Abstract The surveying of European Union (EU) Annex I habitat “8110 - Siliceous scree of the montane to snow levels (Androsacetalia alpinae and Galeopsietalia ladani)” is generally executed by humans. However, robots could increase human monitori
Externí odkaz:
https://doaj.org/article/c1048efbfd8e40889e34d9c76e3ec711
Autor:
Mathew J. Pollayil, Franco Angelini, Leopoldo de Simone, Emanuele Fanfarillo, Tiberio Fiaschi, Simona Maccherini, Claudia Angiolini, Manolo Garabini
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract Effective monitoring of habitats is crucial for their preservation. As the impact of anthropic activities on natural habitats increases, accurate and up-to-date information on the state of ecosystems has become imperative. This paper present
Externí odkaz:
https://doaj.org/article/d18478d1212b4946b9e25652ef333d26
Autor:
Leopoldo de Simone, Emanuele Fanfarillo, Simona Maccherini, Tiberio Fiaschi, Giuseppe Alfonso, Franco Angelini, Manolo Garabini, Claudia Angiolini
Publikováno v:
Ecological Indicators, Vol 160, Iss , Pp 111882- (2024)
EU States are mandated by the 92/43/EEC Habitats Directive to generate recurring reports on the conservation status and functionality of habitats at the national level. This assessment is based on their floristic and, especially for forest habitats,
Externí odkaz:
https://doaj.org/article/a200c113a32e49a7ab170d34d48a7695
Publikováno v:
Robotics, Vol 13, Iss 8, p 113 (2024)
In recent years, tasks regarding autonomous mobility favoredthe use of legged robots rather than wheeled ones thanks to their higher mobility on rough and uneven terrains. This comes at the cost of more complex motion planners and controllers to ensu
Externí odkaz:
https://doaj.org/article/325ee94865da48758f43e54e988489e1
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract Despite the remarkable growth of the global market for robotics, robotic monitoring of habitats is still an understudied topic. This is true, among others, for the species-rich EU Annex I habitat “6210 - Semi-natural grasslands and scrubla
Externí odkaz:
https://doaj.org/article/d3d478e0d02e4bb19f3f663f9555b54e
Autor:
Franco Angelini, Pierangela Angelini, Claudia Angiolini, Simonetta Bagella, Fabio Bonomo, Marco Caccianiga, Cosimo Della Santina, Daniela Gigante, Marco Hutter, Thrishantha Nanayakkara, Paolo Remagnino, Diego Torricelli, Manolo Garabini
Publikováno v:
IEEE Access, Vol 11, Pp 72575-72591 (2023)
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
Externí odkaz:
https://doaj.org/article/fc59414da9cf4eedb42392fe5fb80494
Autor:
Simone Monteleone, Francesca Negrello, Giorgio Grioli, Manuel G. Catalano, Antonio Bicchi, Manolo Garabini
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2023)
Robots that work in unstructured scenarios are often subjected to collisions with the environment or external agents. Accordingly, recently, researchers focused on designing robust and resilient systems. This work presents a framework that quantitati
Externí odkaz:
https://doaj.org/article/1adf86a7994944af8e2b0ab9d60a9515
Autor:
Michele Pierallini, Franco Angelini, Riccardo Mengacci, Alessandro Palleschi, Antonio Bicchi, Manolo Garabini
Publikováno v:
IEEE Access, Vol 9, Pp 147471-147480 (2021)
In this paper, we study the trajectory tracking problem using iterative learning control for continuous-time nonlinear systems with a generic fixed relative degree in the presence of disturbances. This class of controllers iteratively refine the cont
Externí odkaz:
https://doaj.org/article/e2ce5f216307443abad9784bfb10d09e