Marcos Ricardo Omena de Albuquerque Máximo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Motion Planning

Predictive Control

Top Venues

J. Intell. Robotic Syst.

Publications

Carolina Rutili de Lima, Said Ghani Khan, Muhammad Tufail, Syed Humayoon Shah, Marcos Ricardo Omena de Albuquerque Máximo
Humanoid Robot Motion Planning Approaches: a Survey. J. Intell. Robotic Syst. 110 (2) (2024)
Angelo Caregnato-Neto, Luciano Cavalcante Siebert, Arkady Zgonnikov, Marcos Ricardo Omena de Albuquerque Máximo, Rubens Junqueira Magalhães Afonso
ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration. CoRR (2024)
Francisco A. B. Azevedo, Guilherme P. C. Leão, Marcos Ricardo Omena de Albuquerque Máximo
Neural Network Design for a Curved Kicking Mechanism with Obstacle Avoidance in RoboCup Small Size League (SSL). J. Intell. Robotic Syst. 110 (3) (2024)
Angelo Caregnato-Neto, Marcos Ricardo Omena de Albuquerque Máximo, Rubens Junqueira Magalhães Afonso
A Mixed-Integer Approach for Motion Planning of Nonholonomic Robots under Visible Light Communication Constraints. CoRR (2023)
Thiago Filipe de Medeiros, Takashi Yoneyama, Marcos Ricardo Omena de Albuquerque Máximo
Deep Reinforcement Learning Applied to IEEE's Very Small Size Soccer in Cooperative Attack Strategy. LARS/SBR/WRE (2023)
Moisés J. S. Freitas, Alison de Oliveira Moraes, Emanoel Costa, Marcos Ricardo Omena de Albuquerque Máximo, Clodoaldo Faria
Ionospheric scintillation simulation based on neural networks. EUROCON (2023)
Jorge A. Ricardo, Luiz Giacomossi, João Francisco Silva Trentin, José F. B. Brancalion, Marcos Ricardo Omena de Albuquerque Máximo, Davi A. Santos
Cooperative Threat Engagement Using Drone Swarms. IEEE Access 11 (2023)
Francisco Bruno Dias Ribeiro da Silva, Marcos Ricardo Omena de Albuquerque Máximo, Takashi Yoneyama, Davi Herculano Vasconcelos Barroso, Rodrigo Tanaka Aki
Calibration of Inverse Perspective Mapping for a Humanoid Robot. RoboCup (2023)
André O. Françani, Marcos Ricardo Omena de Albuquerque Máximo
Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning. LARS/SBR/WRE (2023)
Guilherme N. Oliveira, Marcos Ricardo Omena de Albuquerque Máximo, Vitor Venceslau Curtis
Distributed Optimization Tool for RoboCup 3D Soccer Simulation League Using Intel DevCloud. RoboCup (2022)
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) (2022)
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 (2022)
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) (2022)
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 (2022)
Lucas Steuernagel, Marcos Ricardo Omena de Albuquerque Máximo
Trajectory Prediction for SSL Robots Using Seq2seq Neural Networks. RoboCup (2022)
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) (2021)
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 (2020)
Dicksiano Carvalho Melo, Carlos Henrique Quartucci Forster, Marcos Ricardo Omena de Albuquerque Máximo
Learning When to Kick through Deep Neural Networks. LARS/SBR/WRE (2019)
Felipe Celso Reis Pinheiro, Marcos Ricardo Omena de Albuquerque Máximo, Takashi Yoneyama
Model Predictive Control for Omnidirectional Small Size Robot with Motor and Non-Slipping Constraints. LARS/SBR/WRE (2019)