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Publications

Publications by Pedro Vitor Lima

2025

Fusion Strategies for Breast Cancer Characterization Using Traditional and Deep Learning Models

Authors
Pedro Vitor Lima; Jaime S. Cardoso; Hélder P. Oliveira;

Publication
2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE)

Abstract

2018

SIMULADOR DE CÓDIGO ABERTO PARA A PLATAFORMA POLOLU 3PI

Authors
José Roberto Fonseca e Silva Júnior; Maria Helena Rocha de Alencar Bezerra; Pedro Vitor Soares Gomes de Lima; João Marcelo Xavier Natário Teixeira; João Paulo Cerquinho Cajueiro; Guilherme Nunes Melo;

Publication
Procedings do XXII Congresso Brasileiro de Autom?tica - Proceedings XXII Congresso Brasileiro de Automática

Abstract

2018

Improving Early Robotics Education Using a Line-Following Robot Simulator

Authors
De Lima P.V.S.G.; Bezerra M.H.R.A.; De Sousa Tavares A.C.; Jose Roberto Fonseca J.; Teixeira J.M.X.N.; Cajueiro J.P.C.; Melo G.N.; Henriques D.B.;

Publication
Proceedings - 15th Latin American Robotics Symposium, 6th Brazilian Robotics Symposium and 9th Workshop on Robotics in Education, LARS/SBR/WRE 2018

Abstract
Line-following robots have the ability to recognize and follow a line drawn on a surface. Elements of their operating principles could be used in the evelopment of numerous autonomous technologies, with applications in education and industry. A simulator has been developed to aide in performing several trials in order to validate a project. By taking the Pololu 3pi Robot as the model, the proposed solution simulates its physical structure, behavior, and operations-being able to read lines on surfaces-enabling the user to observe the robot following the line according to the code used. This paper aims to validate the developed simulator as an alternative to ease the process of learning to use the 3pi platform applied in both educational and competitive environments.

2018

Turning Pololu 3Pi into a multi-programming platform

Authors
Fonseca, SJR; de Lima, PVSG; Bezerra, MHRA; Teixeira, JMXN; Cajueiro, JPC;

Publication
15TH LATIN AMERICAN ROBOTICS SYMPOSIUM 6TH BRAZILIAN ROBOTICS SYMPOSIUM 9TH WORKSHOP ON ROBOTICS IN EDUCATION (LARS/SBR/WRE 2018)

Abstract
Line-following robots have the ability to recognize and follow a line drawn on a surface. It works based on a simple self-sustainable system composed with a set of sensors, motors and a controller. In order to get optimal performance in such robots, it's necessary to carry out several tests to evaluate the behavior in each trial. In the majority of cases, a new trial requires to upload a new program, thus slowing down the development of the line-following. This paper presents an approach to solve the inconvenience of having to upload a new program in each trial. It consists in merging multiple codes in to one to create a program that gives the user the ability to switch between them anytime inside Pololu's 3pi line follower platform.

2019

3DJPi: An open-source web-based 3D simulator for pololu's 3Pi platform

Authors
Maggi L.O.; Teixeira J.M.X.N.; Junior J.R.F.E.S.; Cajueiro J.P.C.; De Lima P.V.S.G.; De Alencar Bezerra M.H.R.; Melo G.N.;

Publication
Proceedings - 2019 21st Symposium on Virtual and Augmented Reality, SVR 2019

Abstract
Line-following robots can recognize and follow a line drawn on a surface. Their operating principles have elements that could be used in the development of numerous autonomous technologies, with applications in education and industry. This class of robots usually represent the first contact students have with educational robotics, being used to develop students' logic thinking and programming skills. The cost of robotic platforms is still prohibitive in low-budget schools and universities, which makes almost impossible having a platform for each small group of students in a classroom, harming the learning process. This work proposes a 3D web-based open-source simulator for Pololu's 3Pi line-following robots, making such technology more accessible and available even for distance learning courses. The developed software simulates the robot's physical structure, behavior, and operations-as being able to read surfaces-, enabling the user to observe the robot following the line as the code commands. The simulator was validated based on experiments that included motion analysis and time measurements of pre-stablished tasks so that its execution could be more coherently based on what happens in reality.

2022

Clinical Decision Support in the Care of Symptomatic Patients with COVID-19: An Approach Based on Machine Learning and Swarm Intelligence

Authors
Nunes, IB; de Lima, PVSG; Ribeiro, ALQ; Soares, LFF; da Silva Santana, ME; Barcelar, MLT; Gomes, JC; de Lima, CL; de Santana, MA; de Souza, RG; de Freitas Barbosa, VA; de Souza, RE; dos Santos, WP;

Publication
Swarm Intelligence Trends and Applications

Abstract

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