Marcos R. O. de A. Máximo - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 10 from 10

2023

Real-time motion planning and decision-making for a group of differential drive robots under connectivity constraints using robust MPC and mixed-integer programmingAngelo Caregnato-Neto, Marcos R. O. de A. Máximo, Rubens Junqueira Magalhães Afonso. ar, 37(5):356-379, March 2023. [doi]

2022

Deep Neural Network Algorithm to Control a Curved Kicking Mechanism in RoboCup Small Size LeagueFrancisco A. B. Azevedo, Guilherme P. C. Leão, Marcos R. O. de A. Máximo. larc 2022: 1-6 [doi]

A-Star Based Algorithm Applied to Target Search and Rescue by a UAV SwarmGuilherme T. T. Bernardo, Luan M. B. Vogás, Sargon D. S. Rodrigues, Thiago G. G. Lopes, Cesar Augusto Cavalheiro Marcondes, Denis Silva Loubach, Elton Felipe Sbruzzi, Filipe Alves Neto Verri, Johnny Cardoso Marques, Lourenço Alves Pereira Júnior, Marcos R. O. de A. Máximo, Vitor Venceslau Curtis. larc 2022: 49-54 [doi]

Thrust Vectored Rocket Landing Integrated Guidance and Control with Proximal Policy OptimizationGabriel de Almeida Souza, Octávio Mathias Silva, Marcos R. O. de A. Máximo. larc 2022: 1-6 [doi]

Semi-Supervised Learning for Intelligent SurveillanceGuilherme Corrêa de Freitas, Marcos R. O. de A. Máximo, Filipe Alves Neto Verri. larc 2022: 1-6 [doi]

Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryAndré O. Françani, Marcos R. O. de A. Máximo. larc 2022: 1-6 [doi]

Optimization of Force and Torque Bounds for the Flight Control System of a Quadcopter using PSOLuiz Giacomossi, Angelo Caregnato-Neto, Marcos R. O. de A. Máximo. larc 2022: 1-6 [doi]

Thermal Modeling of Electric Motors Used in Very Small Size Soccer RobotsGuilherme Reis Miguel, Marcos R. O. de A. Máximo, Izabela Batista Henriques. larc 2022: 270-275 [doi]

Navigation Aids Based on Optical Flow and Convolutional Neural NetworkLeonardo Silveira, Mateus Rodrigues, Bruno S. Faiçal, Alexandre S. Quirino da Silva, Cesar Marcondes, Marcos R. O. de A. Máximo, Filipe Alves Neto Verri. larc 2022: 318-323 [doi]

2020

Deep Reinforcement Learning Applied to IEEE Very Small Size Soccer Strategy**This work was supported by ITAndroids' sponsors: Altium Cenic, Intel, ITAEx, MathWorks, Metinjo, Micropress, Polimold, Rapid, SolidWorks, STMicroelectronics, Wildlife Studios and Vir-tual. PYXIS. Also, Thiago Filipe de Medeiros would like to thank Capes for the master's scholarship grant 88882.446989/2019-01 and Takashi Yoneyama would like to thank CNPq - National Research Council of Brazil for the grant 304134/2018-0Thiago Filipe de Medeiros, Marcos R. O. de A. Máximo, Takashi Yoneyama. larc 2020: 1-6 [doi]

Sign in or sign up to see more results.

runs on WebDSL