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ORCIDMarcos Ricardo Omena de Albuquerque Máximo
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- affiliation: Aeronautics Institute of Technology, São José dos Campos, Brazil
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2020 – today
- 2022
[j8]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: 72628-72642 (2022)- [j7]Angelo Caregnato-Neto, Marcos Ricardo Omena de Albuquerque Máximo, Rubens Junqueira Magalhães Afonso:
A line of sight constraint based on intermediary points for connectivity maintenance of multiagent systems using mixed-Integer programming. Eur. J. Control 68: 100671 (2022) - [j6]Alexandre F. V. Muzio, Marcos Ricardo Omena de Albuquerque Máximo, Takashi Yoneyama:
Deep Reinforcement Learning for Humanoid Robot Behaviors. J. Intell. Robotic Syst. 105(1): 12 (2022) - [j5]Dicksiano Carvalho Melo, Marcos Ricardo Omena de Albuquerque Máximo, Adilson Marques da Cunha:
Learning Push Recovery Behaviors for Humanoid Walking Using Deep Reinforcement Learning. J. Intell. Robotic Syst. 106(1): 8 (2022) - [c18]Francisco A. B. Azevedo, Guilherme P. C. Leão, Marcos R. O. de A. Máximo:
Deep Neural Network Algorithm to Control a Curved Kicking Mechanism in RoboCup Small Size League. LARS/SBR/WRE 2022: 1-6 - [c17]André O. Françani, Marcos R. O. de A. Máximo:
Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry. LARS/SBR/WRE 2022: 1-6 - [c16]Guilherme Corrêa de Freitas, Marcos R. O. de A. Máximo, Filipe Alves Neto Verri:
Semi-Supervised Learning for Intelligent Surveillance. LARS/SBR/WRE 2022: 1-6 - [c15]Luiz Giacomossi, Angelo Caregnato-Neto, Marcos R. O. de A. Máximo:
Optimization of Force and Torque Bounds for the Flight Control System of a Quadcopter using PSO. LARS/SBR/WRE 2022: 1-6 - [c14]Gabriel de Almeida Souza, Octávio Mathias Silva, Marcos R. O. de A. Máximo:
Thrust Vectored Rocket Landing Integrated Guidance and Control with Proximal Policy Optimization. LARS/SBR/WRE 2022: 1-6 - [c13]Guilherme 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:
A-Star Based Algorithm Applied to Target Search and Rescue by a UAV Swarm. LARS/SBR/WRE 2022: 49-54 - [c12]Guilherme Reis Miguel, Marcos R. O. de A. Máximo, Izabela Batista Henriques:
Thermal Modeling of Electric Motors Used in Very Small Size Soccer Robots. LARS/SBR/WRE 2022: 270-275 - [c11]Leonardo Silveira, Mateus Rodrigues, Bruno S. Faiçal, Alexandre S. Quirino da Silva, Cesar Marcondes, Marcos R. O. de A. Máximo, Filipe Alves Neto Verri:
Navigation Aids Based on Optical Flow and Convolutional Neural Network. LARS/SBR/WRE 2022: 318-323 - [i10]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 abs/2201.07208 (2022) - [i9]Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini:
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems. CoRR abs/2203.01387 (2022) - [i8]Angelo Caregnato-Neto, Marcos Ricardo Omena de Albuquerque Máximo, Rubens Junqueira Magalhães Afonso:
Real-time motion planning and decision-making for a group of differential drive robots under connectivity constraints using robust MPC and mixed-integer programming. CoRR abs/2206.00097 (2022) - [i7]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 abs/2207.04188 (2022) - [i6]André O. Françani, Marcos R. O. A. Máximo:
Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry. CoRR abs/2210.01723 (2022) - 2021
- [j4]Luckeciano Carvalho Melo, Dicksiano Carvalho Melo, Marcos Ricardo Omena de Albuquerque Máximo:
Learning Humanoid Robot Running Motions with Symmetry Incentive through Proximal Policy Optimization. J. Intell. Robotic Syst. 102(3): 54 (2021) - [c10]Joao P. A. Dantas, Andre N. Costa, Diego Geraldo, Marcos Ricardo Omena Albuquerque Máximo, Takashi Yoneyama:
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network. BRACIS (2) 2021: 193-207 - [i5]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 abs/2111.03059 (2021) - [i4]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 abs/2111.04474 (2021) - 2020
- [j3]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:
An Analysis on Tradable Permit Models for Last-Mile Delivery Drones. IEEE Access 8: 186279-186290 (2020) - [j2]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: 213168-213184 (2020) - [j1]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): 1420-1441 (2020) - [c9]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: 1-6 - [c8]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: 1-6 - [c7]Thiago Filipe de Medeiros, Marcos R. O. de A. Máximo, Takashi Yoneyama:
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. LARS/SBR/WRE 2020: 1-6 - [c6]Dicksiano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha:
Push Recovery Strategies through Deep Reinforcement Learning. LARS/SBR/WRE 2020: 1-6 - [c5]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: 1-6 - [c4]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: 1-6 - [c3]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: 1-6
2010 – 2019
- 2019
- [i3]Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha:
Learning Humanoid Robot Motions Through Deep Neural Networks. CoRR abs/1901.00270 (2019) - [i2]Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha:
Bottom-Up Meta-Policy Search. CoRR abs/1910.10232 (2019) - [i1]Luckeciano Carvalho Melo, Marcos R. O. A. Máximo:
Learning Humanoid Robot Running Skills through Proximal Policy Optimization. CoRR abs/1910.10620 (2019) - 2017
- [c2]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: 1-6 - 2016
- [c1]Marcos R. O. A. Máximo, Carlos H. C. Ribeiro, Rubens Junqueira Magalhães Afonso:
Mixed-integer programming for automatic walking step duration. IROS 2016: 5399-5404
Coauthor Index
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