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La Narrazione Collettiva come Percorso di Sviluppo Professionale e Identitario per Docenti
No full textLo studio descrive un’esperienza di formazione e ricerca sulla narrazione collettiva condotta durante più annualità con corsiste/i della Scuola Secondaria di I grado, frequentanti il laboratorio di Didattica speciale, codici comunicativi dell’educazione linguistica di un corso di specializzazione per le attività di sostegno.
Gli esiti che verranno illustrati riguardano attività che hanno coinvolto ad oggi oltre 700 insegnanti e prodotto un corpus di oltre 500 narrazioni autobiografiche che hanno costituito il nucleo di partenza per la scrittura di fiabe collettive volte a potenziare le competenze didattiche e collaborative e finalizzate a un riorientamento del proprio percorso identitario e professionale.
Il laboratorio di scrittura collaborativa si propone come strumento per favorire innanzitutto la riflessione critica su sé stessi, promuovere lo sviluppo di competenze trasversali, quali la comunicazione efficace, il lavoro di gruppo e la gestione delle dinamiche di confronto fra pari, sino ad arrivare all’implementazione della metodologia didattica del team teaching.
L'analisi qualitativa delle esperienze personali dei partecipanti e ulteriori riscontri raccolti attraverso un questionario strutturato suggeriscono che la presente attività laboratoriale non solo contribuisce a migliorare le competenze professionali dei docenti, ma promuove anche una maggiore consapevolezza di sé portando con più efficacia a cogliere le sfide e le opportunità legate al futuro dell'educazione
State of the Art on Control Strategies for Aerial Modular Self-Reconfigurable Robots
No full textAerial vehicles are increasingly utilized across a wide range of application domains in which their primary functions often involve monitoring, inspection, and vision-based operations. This paper explores a novel and underexplored application area for aerial vehicles: the autonomous selection and deployment of modular and reconfigurable structures. Specifically, in the broader context of Modular Self-Reconfigurable Robots (MSRR), the study examines the state-of-the-art control techniques that enable aerial vehicles to autonomously select proper structures depending on the considered working environment and self-reconfigure in the selected one. These structures hold significant potential for addressing challenges in emergency and critical scenarios, such as storms, floods, earthquakes, and fires. In such situations, a fleet of aerial vehicles can be requested to rapidly reach critical areas to transport useful materials and then self-assembly into reconfigurable structures of practical use, such as footbridges or complex structure inside spaces with narrow entrance, or in general structures to help endangered people or support first responders in their search and rescue activities. The surveyed articles are classified by considering two major control problems, i.e., reconfiguration planning and control, and task-shape matching. A discussion is provided regarding, on the one hand, the well established control methods for MSRR and their adaptability to aerial MSRR (AMSRR), and on the other hand the advancements and challenges of current control algorithms for AMSRR, identifying open issues and future research paths
Memoria viva de la desaparición. Literatura y desafío pedagógico en Argentina y el Mediterráneo
No full textEste libro se origina en la voluntad de ampliar, geográfica y metodológicamente, los debates en torno a la pedagogía de la memoria. El objetivo es enriquecer el diálogo crítico sobre la divulgación de una cultura de los derechos humanos en el aula, mostrando lo que puede pensar y experimentar, al otro lado del océano, un grupo de estudiantes universitarios italianos que se aboca a estudiar el pasado reciente argentino como clave de lectura para interpretar el presente, su presente, en plena emergencia pandémica.
¿Qué significa tejer relaciones –en un aula universitaria italiana– entre el traumático pasado reciente argentino y la actual desaparición de migrantes en el “necro-mar” Mediterráneo? ¿Cómo se concretan y se enmarcan estas reflexiones en un contexto de didáctica online impuesto por la emergencia sanitaria? ¿Cómo se puede transformar una situación de encierro, de distanciamiento, de ensimismamiento en oportunidad para repensar la práctica docente, las nuevas formas de aprendizaje, la elaboración cultural y la transmisión de la memoria de manera colectiva y compartida? Con la intención de responder a estas preguntas, aunque de forma transitoria, y, más bien, de impulsar otras, en el análisis que la autora propone dialogan los capítulos y resuenan las voces de los estudiantes, constructores ellos mismos de memorias presentes y futuras
Robotics for Precision Agriculture: from Kinematical Modeling and Control to Human-Multi-Robot Coordination
No full textModern agriculture faces increasing challenges driven by global population growth, labor shortages, and the need for more sustainable practices. To address these issues, robotics offers a compelling solution, particularly through the use of human-multi-robot teams. These systems can leverage the complementary strengths of humans and robots to perform complex tasks such as precision weeding, planting, and harvesting. However, realizing the full potential of such systems requires robust solutions for task allocation, navigation, and coordination. This work introduces two primary contributions to support the development of intelligent, collaborative, and autonomous systems for precision agriculture. The first contribution presents a Mixed-Integer Linear Programming (MILP) framework designed to optimize human-robot teamwork in agricultural contexts. Specifically, this framework is applied to a grape harvesting scenario, where the goal is to coordinate multiple service robots and a human worker efficiently. The proposed method minimizes task makespan, robot energy consumption, and idle time while incorporating essential constraints for human safety and comfort. A key innovation is the integration of dynamic velocity adjustments for robots during human-robot interactions to ensure smoother and safer collaboration. Moreover, a user-friendly interactive interface is developed to enable real-time adaptation of the task schedule and allocation based on human input and changing field conditions. This adaptability is crucial for real-world agricultural settings, where environmental variability and human feedback are significant factors. The MILP-based framework was validated through both simulation and real-world experiments. Simulations were conducted in a virtual vineyard environment to evaluate the system under realistic agricultural constraints. These were followed by laboratory tests using TurtleBots to demonstrate the system’s effectiveness in a controlled setting. The results showed that the framework could improve task efficiency, responsiveness, and human-robot coordination, thereby validating its potential for field deployment. The second contribution focuses on the development and control of a novel lightweight robot designed for autonomous weed and grass management in vineyards. This robot, developed during a Ph.D. internship at Vitirover, features a differential rear steering mechanism that enables effective navigation over rugged and uneven terrain. A kinematic model is derived to allow control using linear and angular velocity commands. To guide the robot to desired poses, a pose regulation controller is proposed. In addition, a dynamic optimal planner is introduced to manage precise navigation and weed targeting. The planner uses a multi-objective cost function with adaptive weights that shift priority based on whether weeds are detected within the robot’s field of view. This planning approach integrates kinematic constraints, environmental factors, and task-specific goals to ensure robust and efficient operation. This second system was validated through simulations in Gazebo and field experiments using custom-built hardware. The results confirmed the robot’s ability to autonomously manage weeds and navigate effectively in agricultural environments. Together, these contributions offer a unified framework for advancing robotics in precision agriculture. By addressing both autonomous field operations and human-robot collaboration, this work takes a step toward sustainable, scalable, and intelligent agricultural practices that respond to the complex demands of modern farming
La vulnerabilità della persona anziana in ambito contrattuale
No full textL’età avanzata da sola non costituisce privazione di autonomia. Vengono analizzat i possibili vizi del consenso negoziale prestato dal soggetto in età senile: incapacità naturale, errore, violenza e dolo. L’attenzione si sofferma sulla presunta debolezza del volere della soggetto consumatore anziano. Una specifica riflessione merita la discriminazione negoziale degli anziani su base algoritmica e tramite sistemi di IA
Habit and Automatism. Two Opposite Paths
No full textThis essay explores different ways of understanding the relationship between habit and automatism, starting from the notion of ‘spontaneity’ implied in the double law of habit. The first path highlights the risks of automatism, viewing it as a mechanical and passive mode of action, as seen in the works of Maine de Biran, Ribot, and Dumont. The second path, which originates in the nineteenth century with Ravaisson and Fouillée, suggests a different view of habit and automatism. In the twentieth century, this perspective will reemerge in various forms in the thought of Merleau-Ponty, Ricoeur, Deleuze, and Guattari
Investigating Global Correlations Between Earthquake-generated Tsunamis and Subduction Zone Characteristics
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