Mixed-integer programming for automatic walking step duration. - Marcos R. O. A. Máximo; Carlos H. C. Ribeiro; Rubens Junqueira Magalhães Afonso (IROS, 2016)

Keyframe Movement Optimization for Simulated Humanoid Robot Using a Parallel Optimization Framework. - Francisco Muniz; Marcos Ricardo Omena Albuquerque Máximo; Carlos H. C. Ribeiro (LARS/SBR, 2016)

Monte Carlo Localization with Field Lines Observations for Simulated Humanoid Robotic Soccer. - Alexandre F. V. Muzio; Luis Aguiar; Marcos Ricardo Omena Albuquerque Máximo; Samuel C. Pinto (LARS/SBR, 2016)

Performance Requirements Derivation for IEEE Very Small Size Competition. - Felipe Celso Reis Pinheiro; Samuel C. Pinto; Igor F. Okuyama; Marcos R. O. A. Máximo; Natan L. Viana (LARS/SBR, 2016)

Experimental measurement of parameters for modeling a differentia drive soccer robot. - Bernardo P. Veronese; Igor F. Okuyama; Felipe C. R. Pinheiro; Marcos R. O. A. Máximo; Luis C. S. Goes (LARS/SBR, 2017)

Learning When to Kick through Deep Neural Networks. - Dicksiano Carvalho Melo; Carlos Henrique Quartucci Forster; Marcos Ricardo Omena de Albuquerque Máximo (LARS/SBR/WRE, 2019)

Learning Humanoid Robot Running Skills through Proximal Policy Optimization. - Luckeciano Carvalho Melo; Marcos Ricardo Omena Albuquerque Máximo (LARS/SBR/WRE, 2019)

Model Predictive Control for Omnidirectional Small Size Robot with Motor and Non-Slipping Constraints. - Felipe Celso Reis Pinheiro; Marcos Ricardo Omena de Albuquerque Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2019)

Height Varying Humanoid Robot Walking through Model Predictive Control. - Caroline C. D. Silva; Marcos R. O. A. Máximo; Luiz C. S. Góes (LARS/SBR/WRE, 2019)

Learning Humanoid Robot Motions Through Deep Neural Networks. - Luckeciano Carvalho Melo; Marcos Ricardo Omena Albuquerque Máximo; Adilson Marques da Cunha (CoRR, 2019)

Bottom-Up Meta-Policy Search. - Luckeciano Carvalho Melo; Marcos Ricardo Omena Albuquerque Máximo; Adilson Marques da Cunha (CoRR, 2019)

Neural Network to Control a Multiple Angles Kicker in RoboCup Small Size League. - Francisco A. B. Azevedo; Daniela Vacarini; Emília Villani; Marcos R. O. A. Máximo (LARS/SBR/WRE, 2020)

Decision-making for 5×5 Very Small Size Soccer Teams. - Thayna Pires Baldão; Marcos R. O. A. Máximo; Cecília de Azevedo Castro César (LARS/SBR/WRE, 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 304134/2018-0. - Thiago Filipe de Medeiros; Marcos R. O. de A. Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2020)

Push Recovery Strategies through Deep Reinforcement Learning. - Dicksiano Carvalho Melo; Marcos Ricardo Omena Albuquerque Máximo; Adilson Marques da Cunha (LARS/SBR/WRE, 2020)

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. - Alexandre F. V. Muzio; Marcos R. O. A. Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2020)

Comparison of Sampling-based Path Planners for Robocup Small Size League. - Felipe C. R. Pinheiro; Marcos R. O. A. Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2020)

Convolutional Neural Network with Inception-like Module for Ball and Goalpost Detection in a Small Humanoid Soccer Robot. - Lucas Steuernagel; Marcos R. O. A. Máximo; Lucas A. Pereira; Carlos A. A. Sanches (LARS/SBR/WRE, 2020)

Cooperative Localization for Multiple Soccer Agents Using Factor Graphs and Sequential Monte Carlo. - Guilherme C. G. Fernandes; Stiven S. Dias; Marcos R. O. A. Máximo; Marcelo G. S. Bruno (IEEE Access, 2020)

An Analysis on Tradable Permit Models for Last-Mile Delivery Drones. - Filipe Alves Neto Verri; Cesar Augusto Cavalheiro Marcondes; Denis Silva Loubach; Elton Felipe Sbruzzi; Johnny Cardoso Marques; Lourenço Alves Pereira Júnior; Marcos Ricardo Omena de Albuquerque Máximo; Vitor Venceslau Curtis (IEEE Access, 2020)

Real-time walking step timing adaptation by restricting duration decision for the first footstep. - Marcos R. O. A. Máximo; Carlos H. C. Ribeiro; Rubens Junqueira Magalhães Afonso (Adv. Robotics, 2020)

Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. - Joao P. A. Dantas; Andre N. Costa; Diego Geraldo; Marcos Ricardo Omena Albuquerque Máximo; Takashi Yoneyama (BRACIS (2), 2021)

Optimizing Univector Field Navigation Parameters Using CMA-ES. - Thayna Pires Baldão; Marcos R. O. A. Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2021)

Engagement Decision Support for Beyond Visual Range Air Combat. - Joao P. A. Dantas; Andre N. Costa; Diego Geraldo; Marcos R. O. A. Máximo; Takashi Yoneyama (LARS/SBR/WRE, 2021)

Cooperative and Decentralized Decision-Making for Loyal Wingman UAVs. - Luiz Giacomossi; Stiven Schwanz Dias; José Fernando Basso Brancalion; Marcos R. O. A. Máximo (LARS/SBR/WRE, 2021)

Autonomous and Collective Intelligence for UAV Swarm in Target Search Scenario. - 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; et al. (LARS/SBR/WRE, 2021)

Performance Comparison of Convolutional Neural Network Models for Object Detection in Tethered Balloon Imagery. - Débora F. Dos Santos; André O. Françani; Marcos R. O. A. Máximo; Arthur S. C. Ferreira (LARS/SBR/WRE, 2021)

A Minimalist Open Source Behavior Tree Framework in C++. - Gustavo L. Silva; Marcos R. O. A. Máximo; Lourenço Alves Pereira Jr. (LARS/SBR/WRE, 2021)

Learning Humanoid Robot Running Motions with Symmetry Incentive through Proximal Policy Optimization. - Luckeciano Carvalho Melo; Dicksiano Carvalho Melo; Marcos Ricardo Omena de Albuquerque Máximo (J. Intell. Robotic Syst., 2021)

Deep Neural Network Algorithm to Control a Curved Kicking Mechanism in RoboCup Small Size League. - Francisco A. B. Azevedo; Guilherme P. C. Leão; Marcos R. O. de A. Máximo (LARS/SBR/WRE, 2022)

A-Star Based Algorithm Applied to Target Search and Rescue by a UAV Swarm. - Guilherme T. T. Bernardo; Luan Mateus Bocalan Vogás; Sargon D. S. Rodrigues; Thiago G. G. Lopes; Cesar Augusto Cavalheiro Marcondes; Denis Silva Loubach; Elton Felipe Sbruzzi; Filipe A. N. Verri; Johnny Cardoso Marques; Lourenço Alves Pereira Júnior; Marcos R. O. de A. Máximo; Vitor Venceslau Curtis (LARS/SBR/WRE, 2022)

Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry. - André O. Françani; Marcos R. O. de A. Máximo (LARS/SBR/WRE, 2022)

Semi-Supervised Learning for Intelligent Surveillance. - Guilherme Corrêa de Freitas; Marcos R. O. de A. Máximo; Filipe A. N. Verri (LARS/SBR/WRE, 2022)

Optimization of Force and Torque Bounds for the Flight Control System of a Quadcopter using PSO. - Luiz Giacomossi; Angelo Caregnato-Neto; Marcos R. O. de A. Máximo (LARS/SBR/WRE, 2022)

Thermal Modeling of Electric Motors Used in Very Small Size Soccer Robots. - Guilherme Reis Miguel; Marcos R. O. de A. Máximo; Izabela Batista Henriques (LARS/SBR/WRE, 2022)

Navigation Aids Based on Optical Flow and Convolutional Neural Network. - Leonardo Silveira; Mateus Rodrigues de Barros; Bruno S. Faiçal; Alexandre S. Quirino da Silva; Cesar Marcondes; Marcos R. O. de A. Máximo; Filipe A. N. Verri (LARS/SBR/WRE, 2022)

Thrust Vectored Rocket Landing Integrated Guidance and Control with Proximal Policy Optimization. - Gabriel de Almeida Souza; Octávio Mathias Silva; Marcos R. O. de A. Máximo (LARS/SBR/WRE, 2022)

Distributed Optimization Tool for RoboCup 3D Soccer Simulation League Using Intel DevCloud. - Guilherme N. Oliveira; Marcos Ricardo Omena de Albuquerque Máximo; Vitor Venceslau Curtis (RoboCup, 2022)

Trajectory Prediction for SSL Robots Using Seq2seq Neural Networks. - Lucas Steuernagel; Marcos Ricardo Omena de Albuquerque Máximo (RoboCup, 2022)

Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations. - Joao P. A. Dantas; Andre N. Costa; Felipe L. L. Medeiros; Diego Geraldo; Marcos R. O. A. Máximo; Takashi Yoneyama (WSC, 2022)

Multiagent Reinforcement Learning for Strategic Decision Making and Control in Robotic Soccer Through Self-Play. - Bruno Brandão; Telma Woerle de Lima; Anderson Soares 001; Luckeciano C. Melo; Marcos R. O. A. Máximo (IEEE Access, 2022)

Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem. - Joao P. A. Dantas; Andre N. Costa; Marcos R. O. A. Máximo; Takashi Yoneyama (CoRR, 2022)

A line of sight constraint based on intermediary points for connectivity maintenance of multiagent systems using mixed-Integer programming. - Angelo Caregnato-Neto; Marcos Ricardo Omena de Albuquerque Máximo; Rubens Junqueira Magalhães Afonso (Eur. J. Control, 2022)

Learning Push Recovery Behaviors for Humanoid Walking Using Deep Reinforcement Learning. - Dicksiano Carvalho Melo; Marcos Ricardo Omena de Albuquerque Máximo; Adilson Marques da Cunha (J. Intell. Robotic Syst., 2022)

Deep Reinforcement Learning for Humanoid Robot Behaviors. - Alexandre F. V. Muzio; Marcos Ricardo Omena de Albuquerque Máximo; Takashi Yoneyama (J. Intell. Robotic Syst., 2022)

A Novel Line of Sight Constraint for Mixed-Integer Programming Models with Applications to Multi-Agent Motion Planning. - Angelo Caregnato-Neto; Marcos R. O. A. Máximo; Rubens Junqueira Magalhães Afonso (ECC, 2023)

Ionospheric scintillation simulation based on neural networks. - Moisés J. S. Freitas; Alison de Oliveira Moraes; Emanoel Costa; Marcos Ricardo Omena de Albuquerque Máximo; Clodoaldo Faria (EUROCON, 2023)

Feasibility-Aware Plan Adaptation in Humanoid Gait Generation. - Michele Cipriano; Marcos R. O. A. Máximo; Nicola Scianca; Leonardo Lanari; Giuseppe Oriolo (Humanoids, 2023)

Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning. - André O. Françani; Marcos Ricardo Omena de Albuquerque Máximo (LARS/SBR/WRE, 2023)

Comparison of Encoder-Decoder Networks for Soccer Field Segmentation. - Otávio H. R. Guimarães; Marcos R. O. A. Máximo; José Maria Parente de Oliveira (LARS/SBR/WRE, 2023)

Deep Reinforcement Learning Applied to IEEE's Very Small Size Soccer in Cooperative Attack Strategy. - Thiago Filipe de Medeiros; Takashi Yoneyama; Marcos Ricardo Omena de Albuquerque Máximo (LARS/SBR/WRE, 2023)

Comparison of Feature Extraction and Matching Techniques Applied to Monocular UAV Images With Low-quality and Land Cover Variations. - 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 (LARS/SBR/WRE, 2023)

Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach. - Joao P. A. Dantas; Marcos R. O. A. Máximo; Takashi Yoneyama (SIGSIM-PADS, 2023)

Orienting a Humanoid Robot in a Soccer Field Based on the Background. - Eric Guerra Ribeiro; Marcos R. O. A. Máximo (RoboCup, 2023)

Calibration of Inverse Perspective Mapping for a Humanoid Robot. - Francisco Bruno Dias Ribeiro da Silva; Marcos Ricardo Omena de Albuquerque Máximo; Takashi Yoneyama; Davi Herculano Vasconcelos Barroso; Rodrigo Tanaka Aki (RoboCup, 2023)

An Opponent Formation Classifier for Simulated Robot Soccer. - Davi M. Vasconcelos; Marcos R. O. A. Máximo; Paulo Marcelo Tasinaffo (RoboCup, 2023)

Cooperative Threat Engagement Using Drone Swarms. - Jorge A. Ricardo; Luiz Giacomossi; João Francisco Silva Trentin; José F. B. Brancalion; Marcos Ricardo Omena de Albuquerque Máximo; Davi A. Santos (IEEE Access, 2023)

A Mixed-Integer Approach for Motion Planning of Nonholonomic Robots under Visible Light Communication Constraints. - Angelo Caregnato-Neto; Marcos Ricardo Omena de Albuquerque Máximo; Rubens Junqueira Magalhães Afonso (CoRR, 2023)

ASA-SimaaS: Advancing Digital Transformation through Simulation Services in the Brazilian Air Force. - Joao P. A. Dantas; Diego Geraldo; Andre N. Costa; Marcos Ricardo Omena Albuquerque Máximo; Takashi Yoneyama (CoRR, 2023)

Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning. - Joao P. A. Dantas; Diego Geraldo; Felipe L. L. Medeiros; Marcos R. O. A. Máximo; Takashi Yoneyama (CoRR, 2023)

Using Deep Learning to Map Ionospheric Total Electron Content over Brazil. - Andre Silva; Alison de Oliveira Moraes; Jonas Sousasantos; Marcos R. O. A. Máximo; Bruno César Vani; Clodoaldo Faria (Remote. Sens., 2023)

Real-time motion planning and decision-making for a group of differential drive robots under connectivity constraints using robust MPC and mixed-integer programming. - Angelo Caregnato-Neto; Marcos R. O. de A. Máximo; Rubens Junqueira Magalhães Afonso (Adv. Robotics, 2023)

Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat. - Joao P. A. Dantas; Marcos R. O. A. Máximo; Takashi Yoneyama (SIGSIM-PADS, 2024)

AsaPy: A Python Library for Aerospace Simulation Analysis. - 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 (SIGSIM-PADS, 2024)

Efficient Lecturer Peer-Assessment Attribution Using Graph Theory and a Novel Greedy Algorithm. - Henrique Mohallem Paiva; Priscila Falcão dos Santos; Marcos Ricardo Omena Albuquerque Máximo; Lucas Niemeyer (IEEE Access, 2024)

ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration. - Angelo Caregnato-Neto; Luciano Cavalcante Siebert; Arkady Zgonnikov; Marcos Ricardo Omena de Albuquerque Máximo; Rubens Junqueira Magalhães Afonso (CoRR, 2024)

On the Undecidability of Artificial Intelligence Alignment: Machines that Halt. - Gabriel Adriano de Melo; Marcos Ricardo Omena de Albuquerque Máximo; Nei Yoshihiro Soma; Paulo André Lima de Castro (CoRR, 2024)

Multistage Algorithm for Detecting Landing Strips in the Amazon Rainforest. - Gabriel R. Pardini; Tahisa Neitzel Kuck; Elcio H. Shiguemori; Marcos R. O. A. Máximo; Gabriel Dietzsch; Pamela Molina (IEEE Geosci. Remote. Sens. Lett., 2024)

Humanoid Robot Motion Planning Approaches: a Survey. - Carolina Rutili de Lima; Said Ghani Khan; Muhammad Tufail; Syed Humayoon Shah; Marcos Ricardo Omena de Albuquerque Máximo (J. Intell. Robotic Syst., 2024)

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems. - Rafael Figueiredo Prudencio; Marcos Ricardo Omena Albuquerque Máximo; Esther Luna Colombini (IEEE Trans. Neural Networks Learn. Syst., 2024)

Neural Network Design for a Curved Kicking Mechanism with Obstacle Avoidance in RoboCup Small Size League (SSL). - Francisco A. B. Azevedo; Guilherme P. C. Leão; Marcos Ricardo Omena de Albuquerque Máximo (J. Intell. Robotic Syst., 2024)

Deep Reinforcement Learning Agents With Collective Situational Awareness for Beyond Visual Range Air Combat. - 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 (IEEE Access, 2025)

Autonomous Aircraft Tactical Pop-Up Attack Using Imitation and Generative Learning. - Joao P. A. Dantas; Marcos R. O. A. Máximo; Takashi Yoneyama (IEEE Access, 2025)

Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach. - André O. Françani; Marcos R. O. A. Máximo (IEEE Access, 2025)

Imitation learning of a model predictive controller for real-time humanoid robot walking. - Vítor G. B. de A. Porto; Dicksiano Carvalho Melo; Marcos Ricardo Omena de Albuquerque Máximo; Rubens Junqueira Magalhães Afonso (Eng. Appl. Artif. Intell., 2025)

Synthetic Generator for Ionospheric Amplitude Scintillation Fading Channels Using Generative Adversarial Networks. - Moisés J. S. Freitas; Alison de Oliveira Moraes; Jonas Sousasantos; Marcos Ricardo Omena de Albuquerque Máximo (IEEE Trans. Aerosp. Electron. Syst., 2025)