Marcos Ricardo Omena de Albuquerque Máximo

Orcid: 0000-0003-2944-4476

Affiliations:
  • Aeronautics Institute of Technology, São José dos Campos, Brazil


According to our database1, Marcos Ricardo Omena de Albuquerque Máximo authored at least 67 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Online presence:

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Bibliography

2024
ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration.
CoRR, 2024

Efficient Lecturer Peer-Assessment Attribution Using Graph Theory and a Novel Greedy Algorithm.
IEEE Access, 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.
Adv. Robotics, March, 2023

Using Deep Learning to Map Ionospheric Total Electron Content over Brazil.
Remote. Sens., January, 2023

Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning.
CoRR, 2023

AsaPy: A Python Library for Aerospace Simulation Analysis.
CoRR, 2023

ASA-SimaaS: Advancing Digital Transformation through Simulation Services in the Brazilian Air Force.
CoRR, 2023

A Mixed-Integer Approach for Motion Planning of Nonholonomic Robots under Visible Light Communication Constraints.
CoRR, 2023

Transformer-based model for monocular visual odometry: a video understanding approach.
CoRR, 2023

Cooperative Threat Engagement Using Drone Swarms.
IEEE Access, 2023

An Opponent Formation Classifier for Simulated Robot Soccer.
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.
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.
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.
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.
Proceedings of the Latin American Robotics Symposium, 2023

Deep Reinforcement Learning Applied to IEEE's Very Small Size Soccer in Cooperative Attack Strategy.
Proceedings of the Latin American Robotics Symposium, 2023

Comparison of Encoder-Decoder Networks for Soccer Field Segmentation.
Proceedings of the Latin American Robotics Symposium, 2023

Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning.
Proceedings of the Latin American Robotics Symposium, 2023

Feasibility-Aware Plan Adaptation in Humanoid Gait Generation.
Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

Ionospheric scintillation simulation based on neural networks.
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.
Proceedings of the European Control Conference, 2023

2022
Deep Reinforcement Learning for Humanoid Robot Behaviors.
J. Intell. Robotic Syst., 2022

Learning Push Recovery Behaviors for Humanoid Walking Using Deep Reinforcement Learning.
J. Intell. Robotic Syst., 2022

A line of sight constraint based on intermediary points for connectivity maintenance of multiagent systems using mixed-Integer programming.
Eur. J. Control, 2022

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems.
CoRR, 2022

Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem.
CoRR, 2022

Multiagent Reinforcement Learning for Strategic Decision Making and Control in Robotic Soccer Through Self-Play.
IEEE Access, 2022

Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations.
Proceedings of the Winter Simulation Conference, 2022

Trajectory Prediction for SSL Robots Using Seq2seq Neural Networks.
Proceedings of the RoboCup 2022:, 2022

Distributed Optimization Tool for RoboCup 3D Soccer Simulation League Using Intel DevCloud.
Proceedings of the RoboCup 2022:, 2022

Thrust Vectored Rocket Landing Integrated Guidance and Control with Proximal Policy Optimization.
Proceedings of the Latin American Robotics Symposium, 2022

Navigation Aids Based on Optical Flow and Convolutional Neural Network.
Proceedings of the Latin American Robotics Symposium, 2022

Thermal Modeling of Electric Motors Used in Very Small Size Soccer Robots.
Proceedings of the Latin American Robotics Symposium, 2022

Optimization of Force and Torque Bounds for the Flight Control System of a Quadcopter using PSO.
Proceedings of the Latin American Robotics Symposium, 2022

Semi-Supervised Learning for Intelligent Surveillance.
Proceedings of the Latin American Robotics Symposium, 2022

Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry.
Proceedings of the Latin American Robotics Symposium, 2022


Deep Neural Network Algorithm to Control a Curved Kicking Mechanism in RoboCup Small Size League.
Proceedings of the Latin American Robotics Symposium, 2022

2021
Learning Humanoid Robot Running Motions with Symmetry Incentive through Proximal Policy Optimization.
J. Intell. Robotic Syst., 2021

A Minimalist Open Source Behavior Tree Framework in C++.
Proceedings of the Latin American Robotics Symposium, 2021

Performance Comparison of Convolutional Neural Network Models for Object Detection in Tethered Balloon Imagery.
Proceedings of the Latin American Robotics Symposium, 2021


Cooperative and Decentralized Decision-Making for Loyal Wingman UAVs.
Proceedings of the Latin American Robotics Symposium, 2021

Engagement Decision Support for Beyond Visual Range Air Combat.
Proceedings of the Latin American Robotics Symposium, 2021

Optimizing Univector Field Navigation Parameters Using CMA-ES.
Proceedings of the Latin American Robotics Symposium, 2021

Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020
Real-time walking step timing adaptation by restricting duration decision for the first footstep.
Adv. Robotics, 2020

An Analysis on Tradable Permit Models for Last-Mile Delivery Drones.
IEEE Access, 2020

Cooperative Localization for Multiple Soccer Agents Using Factor Graphs and Sequential Monte Carlo.
IEEE Access, 2020

Convolutional Neural Network with Inception-like Module for Ball and Goalpost Detection in a Small Humanoid Soccer Robot.
Proceedings of the Latin American Robotics Symposium, 2020

Comparison of Sampling-based Path Planners for Robocup Small Size League.
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.
Proceedings of the Latin American Robotics Symposium, 2020

Push Recovery Strategies through Deep Reinforcement Learning.
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.
Proceedings of the Latin American Robotics Symposium, 2020

Decision-making for 5×5 Very Small Size Soccer Teams.
Proceedings of the Latin American Robotics Symposium, 2020

Neural Network to Control a Multiple Angles Kicker in RoboCup Small Size League.
Proceedings of the Latin American Robotics Symposium, 2020

2019
Bottom-Up Meta-Policy Search.
CoRR, 2019

Learning Humanoid Robot Motions Through Deep Neural Networks.
CoRR, 2019

Height Varying Humanoid Robot Walking through Model Predictive Control.
Proceedings of the Latin American Robotics Symposium, 2019

Model Predictive Control for Omnidirectional Small Size Robot with Motor and Non-Slipping Constraints.
Proceedings of the Latin American Robotics Symposium, 2019

Learning Humanoid Robot Running Skills through Proximal Policy Optimization.
Proceedings of the Latin American Robotics Symposium, 2019

Learning When to Kick through Deep Neural Networks.
Proceedings of the Latin American Robotics Symposium, 2019

2017
Experimental measurement of parameters for modeling a differentia drive soccer robot.
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.
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.
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.
Proceedings of the XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium, 2016

Mixed-integer programming for automatic walking step duration.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016


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