Coleção de Trabalhos Apresentados em Eventos

URI permanente para esta coleçãohttps://repositorio.insper.edu.br/handle/11224/3236

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Resultados da Pesquisa

Agora exibindo 1 - 2 de 2
  • Imagem de Miniatura
    Trabalho de Evento
    Exploration and Rescue of Shipwreck Survivors using Reinforcement Learning-Empowered Drone Swarms
    (2023) Abreu, Leonardo D. M. de; Carrete, Luis F. S.; Castanares, Manuel; Damiani, Enrico F.; Brancalion, Jose Fernando B.; Barth, Fabrício J.
    The goal of this project is to create a reinforcement learning algorithm that locates shipwrecked individuals using a swarm of drones. A simulated environment was developed to train and visualize the outcome of the trained algorithm considering the ocean’s dynamic circumstances. This project does not discuss image recognition of shipwrecked people, since the true focus of this project is to optimize the search routine of a drone to find the target in the most efficient way possible. The implemented Reinforce algorithm takes into account a dynamic map of probabilities, representing the chances of a person being found, as well as the position of other agents. Outcomes include an open-source Python package for the environment and the implementation of the reinforcement learning algorithm. The algorithm demonstrates superiority over the predefined approach, proving the advantages of reinforcement learning in efficiency and effectiveness.
  • Imagem de Miniatura
    Trabalho de Evento
    Active learning approaches applied in teaching agile methodologies
    (2023) GRAZIELA SIMONE TONIN; FABIO ROBERTO DE MIRANDA; ANDREW TOSHIAKI NAKAYAMA KURAUCHI; Montagner, Igor; Agena, Barbara; Barth, Fabrício J.
    We need to modernize education to form adaptable leaders who can tackle evolving challenges in our dynamic world. Insper's computer science program is designed to reflect this need with an innovative infrastructure, curriculum, and industry partnerships. We use active learning methodologies to teach agile methodologies and develop soft skills to solve real-world problems. Our focus is on non-violent communication, feedback techniques, and teamwork, along with constant interaction with industry professionals who share their experiences with students. Our goal is to provide students with a well-rounded education that equips them for success in the digital age. This work-in-progress research project describes our approach to teaching and our objective to prepare students for the future in the context of an innovative first semester experience on a CS program.