no code implementations • 28 May 2024 • Martina Mammarella, Cesare Donati, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
In this paper, the problem of identifying inertial characteristics of a generic space vehicle relying on the physical and structural insights of the dynamical system is presented.
no code implementations • 31 Oct 2023 • Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa
The aim of this paper is to present a novel physics-based framework for the identification of dynamical systems, in which the physical and structural insights are reflected directly into a backpropagation-based learning algorithm.
no code implementations • 6 Feb 2022 • Martina Mammarella, Cesare Donati, Takumi Shimizu, Masaya Suenaga, Lorenzo Comba, Alessandro Biglia, Kuniaki Uto, Takeshi Hatanaka, Paolo Gay, Fabrizio Dabbene
In this paper, we present an innovative approach where a fleet of unmanned aerial vehicles is exploited to perform remote sensing tasks over an apple orchard for reconstructing a 3D map of the field, formulating the covering control problem to combine the position of a monitoring target and the viewing angle.
