Graduações em Engenharias e Ciência da Computação

URI permanente para esta coleçãohttps://repositorio.insper.edu.br/handle/11224/3249

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Resultados da Pesquisa

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    Trabalho de Conclusão de Curso
    Search of shipwrecked people using drone swarms (part 2)
    (2024) Oliveira, Jorás Custódio Campos de; Andrade, Pedro Henrique Britto Aragão; Falcão, Renato Laffranchi; Rodrigues, Ricardo Ribeiro
    The project's purpose is to iterate on the given multi-agent Drone Swarm Search Environment (DSSE) and research into Reinforcement Learning methods. The DSSE was created with the direct purpose of using reinforcement learning algorithms to train swarms of drones to execute autonomous maritime search and rescue missions of shipwrecked people in the ocean. The environment simulates the movement of persons-in-water (PIW) considering the ocean's dynamic circumstances and calculates a dynamic map of probabilities to be given to the agents, with two distinct environments, one for rescue scenarios with simulated PIW and a second expanding on state-of-the-art research for maritime coverage search path planning. The DSSE facilitates the training and visualization of drone behavior, the project emphasizes continuous improvement and open accessibility, with the release of the DSSE as an open-source Python package and documentation. The focus is on the continuous improvement of simulation quality and applicability of the environments for research purposes, with development, training and evaluation of Reinforcement learning algorithms to improve the path planning of autonomous agents, for search and rescue maritime scenarios.
  • Imagem de Miniatura
    Search of shipwrecked people using drone swarms
    (2023) Damiani, Enrico Francesco; Abreu, Leonardo Duarte Malta de; Carrete, Luis Filipe Sanchez; Castanares, Manuel
    The aim of this project is to develop a reinforcement learning algorithm with its purpose being to find shipwrecked people using a swarm of drones. A simulated environment was also developed to train and visualize the outcome of the trained algorithm. 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 quickest 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. Keywords: Multi-agent; Reinforcement learning, Shipwrecked people; Drone swarms.