Marcos R. O. A. Máximo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Sequential Monte Carlo

Top Venues

Publications

André O. Françani, Marcos R. O. A. Máximo
Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning. CoRR (2024)
Joao P. A. Dantas, Samara R. Silva, Vitor Conrado Faria Gomes, Andre N. Costa, Adrisson R. Samersla, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
AsaPy: A Python Library for Aerospace Simulation Analysis. SIGSIM-PADS (2024)
Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama
Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat. SIGSIM-PADS (2024)
Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama
Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach. CoRR (2023)
Nathan A. Z. Xavier, Jonathan De A. Lapa, Douglas D. De C. Honório, Rafael C. De Oliveira, Elcio H. Shiguemori, Marcos R. O. A. Máximo, Marco Antonio Pizani Domiciano
Comparison of Feature Extraction and Matching Techniques Applied to Monocular UAV Images With Low-quality and Land Cover Variations. LARS/SBR/WRE (2023)
Andre Silva, Alison de Oliveira Moraes, Jonas Sousasantos, Marcos R. O. A. Máximo, Bruno César Vani, Clodoaldo Faria
Using Deep Learning to Map Ionospheric Total Electron Content over Brazil. Remote. Sens. 15 (2) (2023)
Joao P. A. Dantas, Diego Geraldo, Felipe L. L. Medeiros, Marcos R. O. A. Máximo, Takashi Yoneyama
Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning. CoRR (2023)
Otávio H. R. Guimarães, Marcos R. O. A. Máximo, José Maria Parente de Oliveira
Comparison of Encoder-Decoder Networks for Soccer Field Segmentation. LARS/SBR/WRE (2023)
Michele Cipriano, Marcos R. O. A. Máximo, Nicola Scianca, Leonardo Lanari, Giuseppe Oriolo
Feasibility-Aware Plan Adaptation in Humanoid Gait Generation. Humanoids (2023)
Eric Guerra Ribeiro, Marcos R. O. A. Máximo
Orienting a Humanoid Robot in a Soccer Field Based on the Background. RoboCup (2023)
Davi M. Vasconcelos, Marcos R. O. A. Máximo, Paulo Marcelo Tasinaffo
An Opponent Formation Classifier for Simulated Robot Soccer. RoboCup (2023)
André O. Françani, Marcos R. O. A. Máximo
Transformer-based model for monocular visual odometry: a video understanding approach. CoRR (2023)
Joao P. A. Dantas, Samara R. Silva, Vitor Conrado Faria Gomes, Andre N. Costa, Adrisson R. Samersla, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
AsaPy: A Python Library for Aerospace Simulation Analysis. CoRR (2023)
Angelo Caregnato-Neto, Marcos R. O. A. Máximo, Rubens Junqueira Magalhães Afonso
A Novel Line of Sight Constraint for Mixed-Integer Programming Models with Applications to Multi-Agent Motion Planning. ECC (2023)
Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama
Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach. SIGSIM-PADS (2023)
Joao P. A. Dantas, Andre N. Costa, Felipe L. L. Medeiros, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations. CoRR (2022)
Bruno Brandão, Telma Woerle de Lima, Anderson Soares, Luckeciano C. Melo, Marcos R. O. A. Máximo
Multiagent Reinforcement Learning for Strategic Decision Making and Control in Robotic Soccer Through Self-Play. IEEE Access 10 (2022)
André O. Françani, Marcos R. O. A. Máximo
Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry. CoRR (2022)
Joao P. A. Dantas, Andre N. Costa, Felipe L. L. Medeiros, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations. WSC (2022)
Joao P. A. Dantas, Andre N. Costa, Marcos R. O. A. Máximo, Takashi Yoneyama
Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem. CoRR (2022)
Thayna Pires Baldão, Marcos R. O. A. Máximo, Takashi Yoneyama
Optimizing Univector Field Navigation Parameters Using CMA-ES. LARS/SBR/WRE (2021)
Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
Engagement Decision Support for Beyond Visual Range Air Combat. CoRR (2021)
Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
Engagement Decision Support for Beyond Visual Range Air Combat. LARS/SBR/WRE (2021)
Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. CoRR (2021)
Luiz Giacomossi, Flavio Souza, Raphael Gomes Cortes, Huascar Mirko Montecinos Cortez, Caue Ferreira, Cesar Augusto Cavalheiro Marcondes, Denis Silva Loubach, Elton Felipe Sbruzzi, Filipe Alves Neto Verri, Johnny Cardoso Marques, Lourenço Alves Pereira Jr., Marcos R. O. A. Máximo, Vitor Venceslau Curtis
Autonomous and Collective Intelligence for UAV Swarm in Target Search Scenario. LARS/SBR/WRE (2021)
Gustavo L. Silva, Marcos R. O. A. Máximo, Lourenço Alves Pereira Jr.
A Minimalist Open Source Behavior Tree Framework in C++. LARS/SBR/WRE (2021)
Débora F. Dos Santos, André O. Françani, Marcos R. O. A. Máximo, Arthur S. C. Ferreira
Performance Comparison of Convolutional Neural Network Models for Object Detection in Tethered Balloon Imagery. LARS/SBR/WRE (2021)
Luiz Giacomossi, Stiven Schwanz Dias, José Fernando Basso Brancalion, Marcos R. O. A. Máximo
Cooperative and Decentralized Decision-Making for Loyal Wingman UAVs. LARS/SBR/WRE (2021)
Felipe C. R. Pinheiro, Marcos R. O. A. Máximo, Takashi Yoneyama
Comparison of Sampling-based Path Planners for Robocup Small Size League. LARS/SBR/WRE (2020)
Francisco A. B. Azevedo, Daniela Vacarini, Emília Villani, Marcos R. O. A. Máximo
Neural Network to Control a Multiple Angles Kicker in RoboCup Small Size League. LARS/SBR/WRE (2020)
Lucas Steuernagel, Marcos R. O. A. Máximo, Lucas A. Pereira, Carlos A. A. Sanches
Convolutional Neural Network with Inception-like Module for Ball and Goalpost Detection in a Small Humanoid Soccer Robot. LARS/SBR/WRE (2020)
Marcos R. O. A. Máximo, Carlos H. C. Ribeiro, Rubens Junqueira Magalhães Afonso
Real-time walking step timing adaptation by restricting duration decision for the first footstep. Adv. Robotics 34 (21-22) (2020)
Guilherme C. G. Fernandes, Stiven S. Dias, Marcos R. O. A. Máximo, Marcelo G. S. Bruno
Cooperative Localization for Multiple Soccer Agents Using Factor Graphs and Sequential Monte Carlo. IEEE Access 8 (2020)
Thayna Pires Baldão, Marcos R. O. A. Máximo, Cecília de Azevedo Castro César
Decision-making for 5×5 Very Small Size Soccer Teams. LARS/SBR/WRE (2020)
Alexandre F. V. Muzio, Marcos R. O. A. Máximo, Takashi Yoneyama
Deep Reinforcement Learning for Humanoid Robot Dribbling**Alexandre Muzio acknowledges CAPES for his scholarship (number 88882.161989/2017-01). Takashi Yoneyama would like to thank CNPq - National Research Council of Brasil for the grant 304134/2-18-0. The authors thank ITAndroids' sponsors: Altium, Cenic, Intel, ITAEx, MathWorks, Metinjo, Micropress, Polimold, Rapid, SolidWorks, STMicroelectronics, Wildlife Studios, and Virtual.PYXIS. LARS/SBR/WRE (2020)
Caroline C. D. Silva, Marcos R. O. A. Máximo, Luiz C. S. Góes
Height Varying Humanoid Robot Walking through Model Predictive Control. LARS/SBR/WRE (2019)
Luckeciano Carvalho Melo, Marcos R. O. A. Máximo
Learning Humanoid Robot Running Skills through Proximal Policy Optimization. CoRR (2019)
Bernardo P. Veronese, Igor F. Okuyama, Felipe C. R. Pinheiro, Marcos R. O. A. Máximo, Luis C. S. Goes
Experimental measurement of parameters for modeling a differentia drive soccer robot. LARS/SBR (2017)
Marcos R. O. A. Máximo, Carlos H. C. Ribeiro, Rubens Junqueira Magalhães Afonso
Mixed-integer programming for automatic walking step duration. IROS (2016)
Felipe Celso Reis Pinheiro, Samuel C. Pinto, Igor F. Okuyama, Marcos R. O. A. Máximo, Natan L. Viana
Performance Requirements Derivation for IEEE Very Small Size Competition. LARS/SBR (2016)