Marcos Ricardo Omena de Albuquerque Máximo

According to our database, Marcos Ricardo Omena de Albuquerque Máximo authored at least 72 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., September, 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., August, 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., June, 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

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

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

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

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

Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2024

Loyal Wingman Assessment: Social Navigation for Human-Autonomous Collaboration in Simulated Air Combat.

Joao P. A. Dantas, Marcos R. O. A. Máximo, Takashi Yoneyama

Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2024

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, March, 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., January, 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

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

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

Transformer-based model for monocular visual odometry: a video understanding approach.

André O. Françani, Marcos R. O. A. Máximo

CoRR, 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

An Opponent Formation Classifier for Simulated Robot Soccer.

Davi M. Vasconcelos, Marcos R. O. A. Máximo, Paulo Marcelo Tasinaffo

Proceedings of the RoboCup 2023: Robot World Cup XXVI [Bordeaux, France, 4-10 July, 2023]., 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

Proceedings of the RoboCup 2023: Robot World Cup XXVI [Bordeaux, France, 4-10 July, 2023]., 2023

Orienting a Humanoid Robot in a Soccer Field Based on the Background.

Eric Guerra Ribeiro, Marcos R. O. A. Máximo

Proceedings of the RoboCup 2023: Robot World Cup XXVI [Bordeaux, France, 4-10 July, 2023]., 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

Proceedings of the 2023 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 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

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 2023

Comparison of Encoder-Decoder Networks for Soccer Field Segmentation.

Otávio H. R. Guimarães, Marcos R. O. A. Máximo, José Maria Parente de Oliveira

Proceedings of the Latin American Robotics Symposium, 2023

Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning.

André O. Françani, Marcos Ricardo Omena de Albuquerque Máximo

Proceedings of the Latin American Robotics Symposium, 2023

Feasibility-Aware Plan Adaptation in Humanoid Gait Generation.

Michele Cipriano, Marcos R. O. A. Máximo, Nicola Scianca, Leonardo Lanari, Giuseppe Oriolo

Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 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

Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

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

Proceedings of the European Control Conference, 2023

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

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

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

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

Multiagent Reinforcement Learning for Strategic Decision Making and Control in Robotic Soccer Through Self-Play.

Bruno Brandão, Telma Woerle de Lima, Anderson Soares, Luckeciano C. Melo, Marcos R. O. A. Máximo

IEEE Access, 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

Proceedings of the Winter Simulation Conference, 2022

Trajectory Prediction for SSL Robots Using Seq2seq Neural Networks.

Lucas Steuernagel, Marcos Ricardo Omena de Albuquerque Máximo

Proceedings of the RoboCup 2022:, 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

Proceedings of the RoboCup 2022:, 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

Proceedings of the Latin American Robotics Symposium, 2022

Navigation Aids Based on Optical Flow and Convolutional Neural Network.

Leonardo Silveira, Mateus Rodrigues, Bruno S. Faiçal, Alexandre S. Quirino da Silva, Cesar Marcondes, Marcos R. O. de A. Máximo, Filipe Alves Neto Verri

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 2022

Semi-Supervised Learning for Intelligent Surveillance.

Guilherme Corrêa de Freitas, Marcos R. O. de A. Máximo, Filipe Alves Neto Verri

Proceedings of the Latin American Robotics Symposium, 2022

Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry.

André O. Françani, Marcos R. O. de A. Máximo

Proceedings of the Latin American Robotics Symposium, 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 Alves Neto Verri, Johnny Cardoso Marques, Lourenço Alves Pereira Júnior, Marcos R. O. de A. Máximo, Vitor Venceslau Curtis

Proceedings of the Latin American Robotics Symposium, 2022

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

Proceedings of the Latin American Robotics Symposium, 2022

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

A Minimalist Open Source Behavior Tree Framework in C++.

Gustavo L. Silva, Marcos R. O. A. Máximo, Lourenço Alves Pereira Jr.

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 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 Alves Neto Verri, Johnny Cardoso Marques, Lourenço Alves Pereira Jr., Marcos R. O. A. Máximo, Vitor Venceslau Curtis

Proceedings of the Latin American Robotics Symposium, 2021

Cooperative and Decentralized Decision-Making for Loyal Wingman UAVs.

Luiz Giacomossi, Stiven Schwanz Dias, José Fernando Basso Brancalion, Marcos R. O. A. Máximo

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 2021

Optimizing Univector Field Navigation Parameters Using CMA-ES.

Thayna Pires Baldão, Marcos R. O. A. Máximo, Takashi Yoneyama

Proceedings of the Latin American Robotics Symposium, 2021

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

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

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

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

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

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

Proceedings of the Latin American Robotics Symposium, 2020

Comparison of Sampling-based Path Planners for Robocup Small Size League.

Felipe C. R. Pinheiro, Marcos R. O. A. Máximo, Takashi Yoneyama

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 2020

Push Recovery Strategies through Deep Reinforcement Learning.

Dicksiano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 2020

Decision-making for 5×5 Very Small Size Soccer Teams.

Thayna Pires Baldão, Marcos R. O. A. Máximo, Cecília de Azevedo Castro César

Proceedings of the Latin American Robotics Symposium, 2020

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

Proceedings of the Latin American Robotics Symposium, 2020

2019

Bottom-Up Meta-Policy Search.

Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha

CoRR, 2019

Learning Humanoid Robot Motions Through Deep Neural Networks.

Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha

CoRR, 2019

Height Varying Humanoid Robot Walking through Model Predictive Control.

Caroline C. D. Silva, Marcos R. O. A. Máximo, Luiz C. S. Góes

Proceedings of the Latin American Robotics Symposium, 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

Proceedings of the Latin American Robotics Symposium, 2019

Learning Humanoid Robot Running Skills through Proximal Policy Optimization.

Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo

Proceedings of the Latin American Robotics Symposium, 2019

Learning When to Kick through Deep Neural Networks.

Dicksiano Carvalho Melo, Carlos Henrique Quartucci Forster, Marcos Ricardo Omena de Albuquerque Máximo

Proceedings of the Latin American Robotics Symposium, 2019

2017

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

Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

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

Proceedings of the XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium, 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

Proceedings of the XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium, 2016

Keyframe Movement Optimization for Simulated Humanoid Robot Using a Parallel Optimization Framework.

Francisco Muniz, Marcos Ricardo Omena Albuquerque Máximo, Carlos H. C. Ribeiro

Proceedings of the XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium, 2016

Mixed-integer programming for automatic walking step duration.

Marcos R. O. A. Máximo, Carlos H. C. Ribeiro, Rubens Junqueira Magalhães Afonso

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016