Marcos R. O. A. Máximo

47 papers A 1C 3Misc 1Journal 21Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Comparison and Optimization of U-Net and SegNet Encoder-Decoder Architectures for Soccer Field Segmentation in RoboCup. J. Intell. Robotic Syst. Otávio H. R. Guimarães, Marcos R. O. A. Máximo, José Maria Parente de Oliveira
2025	J	`jnl`	Autonomous Aircraft Tactical Pop-Up Attack Using Imitation and Generative Learning. IEEE Access Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama
2025	J	`jnl`	Deep Reinforcement Learning Agents With Collective Situational Awareness for Beyond Visual Range Air Combat. IEEE Access Joao P. A. Dantas, Felipe L. L. Medeiros, Adrisson R. Samersla, Pedro L. R. Botelho, Vitor Conrado Faria Gomes, Samara R. Silva, Yuri D. Ferreira, Alessandro O. Arantes, Marcia Rodrigues Campos de Aquino, Marcos R. O. A. Máximo
2025	C	`conf`	Extended Kalman Filter-Based Object Tracking Using Global and Local Frames. FUSION Eric E. Y. De Lima, Stiven S. Dias, Marcos R. O. A. Máximo
2025	J	`jnl`	Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach. IEEE Access André O. Françani, Marcos R. O. A. Máximo
2024	—	`conf`	AsaPy: A Python Library for Aerospace Simulation Analysis. SIGSIM-PADS 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
2024	—	`conf`	Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat. SIGSIM-PADS Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama
2024	J	`jnl`	Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning. CoRR André O. Françani, Marcos R. O. A. Máximo
2024	J	`jnl`	Multistage Algorithm for Detecting Landing Strips in the Amazon Rainforest. IEEE Geosci. Remote. Sens. Lett. Gabriel R. Pardini, Tahisa Neitzel Kuck, Elcio H. Shiguemori, Marcos R. O. A. Máximo, Gabriel Dietzsch, Pamela Molina
2023	—	`conf`	A Novel Line of Sight Constraint for Mixed-Integer Programming Models with Applications to Multi-Agent Motion Planning. ECC Angelo Caregnato-Neto, Marcos R. O. A. Máximo, Rubens Junqueira Magalhães Afonso
2023	C	`conf`	An Opponent Formation Classifier for Simulated Robot Soccer. RoboCup Davi M. Vasconcelos, Marcos R. O. A. Máximo, Paulo Marcelo Tasinaffo
2023	J	`jnl`	AsaPy: A Python Library for Aerospace Simulation Analysis. CoRR 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
2023	—	`conf`	Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach. SIGSIM-PADS Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama
2023	J	`jnl`	Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach. CoRR Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama
2023	—	`conf`	Comparison of Encoder-Decoder Networks for Soccer Field Segmentation. LARS/SBR/WRE Otávio H. R. Guimarães, Marcos R. O. A. Máximo, José Maria Parente de Oliveira
2023	—	`conf`	Comparison of Feature Extraction and Matching Techniques Applied to Monocular UAV Images With Low-quality and Land Cover Variations. LARS/SBR/WRE 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
2023	—	`conf`	Feasibility-Aware Plan Adaptation in Humanoid Gait Generation. Humanoids Michele Cipriano, Marcos R. O. A. Máximo, Nicola Scianca, Leonardo Lanari, Giuseppe Oriolo
2023	C	`conf`	Orienting a Humanoid Robot in a Soccer Field Based on the Background. RoboCup Eric Guerra Ribeiro, Marcos R. O. A. Máximo
2023	J	`jnl`	Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning. CoRR Joao P. A. Dantas, Diego Geraldo, Felipe L. L. Medeiros, Marcos R. O. A. Máximo, Takashi Yoneyama
2023	J	`jnl`	Transformer-based model for monocular visual odometry: a video understanding approach. CoRR André O. Françani, Marcos R. O. A. Máximo
2023	J	`jnl`	Using Deep Learning to Map Ionospheric Total Electron Content over Brazil. Remote. Sens. Andre Silva, Alison de Oliveira Moraes, Jonas Sousasantos, Marcos R. O. A. Máximo, Bruno César Vani, Clodoaldo Faria
2022	J	`jnl`	A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems. CoRR Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini
2022	J	`jnl`	Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry. CoRR André O. Françani, Marcos R. O. A. Máximo
2022	J	`jnl`	Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem. CoRR Joao P. A. Dantas, Andre N. Costa, Marcos R. O. A. Máximo, Takashi Yoneyama
2022	J	`jnl`	Multiagent Reinforcement Learning for Strategic Decision Making and Control in Robotic Soccer Through Self-Play. IEEE Access Bruno Brandão, Telma Woerle de Lima, Anderson Soares, Luckeciano C. Melo, Marcos R. O. A. Máximo
2022	Misc	`conf`	Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations. WSC Joao P. A. Dantas, Andre N. Costa, Felipe L. L. Medeiros, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
2022	J	`jnl`	Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations. CoRR Joao P. A. Dantas, Andre N. Costa, Felipe L. L. Medeiros, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
2021	—	`conf`	A Minimalist Open Source Behavior Tree Framework in C++. LARS/SBR/WRE Gustavo L. Silva, Marcos R. O. A. Máximo, Lourenço Alves Pereira Jr.
2021	—	`conf`	Autonomous and Collective Intelligence for UAV Swarm in Target Search Scenario. LARS/SBR/WRE Luiz Giacomossi, Flavio Souza, Raphael Gomes Cortes, Huascar Mirko Montecinos Cortez, Caue Ferreira, Cesar Augusto Cavalheiro Marcondes, Denis Silva Loubach, Elton Felipe Sbruzzi, Filipe A. N. Verri, Johnny Cardoso Marques, Lourenço Alves Pereira Jr., Marcos R. O. A. Máximo, Vitor Venceslau Curtis
2021	—	`conf`	Cooperative and Decentralized Decision-Making for Loyal Wingman UAVs. LARS/SBR/WRE Luiz Giacomossi, Stiven Schwanz Dias, José Fernando Basso Brancalion, Marcos R. O. A. Máximo
2021	—	`conf`	Engagement Decision Support for Beyond Visual Range Air Combat. LARS/SBR/WRE Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
2021	J	`jnl`	Engagement Decision Support for Beyond Visual Range Air Combat. CoRR Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
2021	—	`conf`	Optimizing Univector Field Navigation Parameters Using CMA-ES. LARS/SBR/WRE Thayna Pires Baldão, Marcos R. O. A. Máximo, Takashi Yoneyama
2021	—	`conf`	Performance Comparison of Convolutional Neural Network Models for Object Detection in Tethered Balloon Imagery. LARS/SBR/WRE Débora F. Dos Santos, André O. Françani, Marcos R. O. A. Máximo, Arthur S. C. Ferreira
2021	J	`jnl`	Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. CoRR Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos R. O. A. Máximo, Takashi Yoneyama
2020	—	`conf`	Comparison of Sampling-based Path Planners for Robocup Small Size League. LARS/SBR/WRE Felipe C. R. Pinheiro, Marcos R. O. A. Máximo, Takashi Yoneyama
2020	—	`conf`	Convolutional Neural Network with Inception-like Module for Ball and Goalpost Detection in a Small Humanoid Soccer Robot. LARS/SBR/WRE Lucas Steuernagel, Marcos R. O. A. Máximo, Lucas A. Pereira, Carlos A. A. Sanches
2020	J	`jnl`	Cooperative Localization for Multiple Soccer Agents Using Factor Graphs and Sequential Monte Carlo. IEEE Access Guilherme C. G. Fernandes, Stiven S. Dias, Marcos R. O. A. Máximo, Marcelo G. S. Bruno
2020	—	`conf`	Decision-making for 5×5 Very Small Size Soccer Teams. LARS/SBR/WRE Thayna Pires Baldão, Marcos R. O. A. Máximo, Cecília de Azevedo Castro César
2020	—	`conf`	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 Alexandre F. V. Muzio, Marcos R. O. A. Máximo, Takashi Yoneyama
2020	—	`conf`	Neural Network to Control a Multiple Angles Kicker in RoboCup Small Size League. LARS/SBR/WRE Francisco A. B. Azevedo, Daniela Vacarini, Emília Villani, Marcos R. O. A. Máximo
2020	J	`jnl`	Real-time walking step timing adaptation by restricting duration decision for the first footstep. Adv. Robotics Marcos R. O. A. Máximo, Carlos H. C. Ribeiro, Rubens Junqueira Magalhães Afonso
2019	—	`conf`	Height Varying Humanoid Robot Walking through Model Predictive Control. LARS/SBR/WRE Caroline C. D. Silva, Marcos R. O. A. Máximo, Luiz C. S. Góes
2019	J	`jnl`	Learning Humanoid Robot Running Skills through Proximal Policy Optimization. CoRR Luckeciano Carvalho Melo, Marcos R. O. A. Máximo
2017	—	`conf`	Experimental measurement of parameters for modeling a differentia drive soccer robot. LARS/SBR Bernardo P. Veronese, Igor F. Okuyama, Felipe C. R. Pinheiro, Marcos R. O. A. Máximo, Luis C. S. Goes
2016	A	`conf`	Mixed-integer programming for automatic walking step duration. IROS Marcos R. O. A. Máximo, Carlos H. C. Ribeiro, Rubens Junqueira Magalhães Afonso
2016	—	`conf`	Performance Requirements Derivation for IEEE Very Small Size Competition. LARS/SBR Felipe Celso Reis Pinheiro, Samuel C. Pinto, Igor F. Okuyama, Marcos R. O. A. Máximo, Natan L. Viana