Miguel Abreu

Orcid: 0000-0002-6342-2054

According to our database1, Miguel Abreu authored at least 17 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Learning hybrid locomotion skills - Learn to exploit residual actions and modulate model-based gait control.
Frontiers Robotics AI, February, 2023

Designing a Skilled Soccer Team for RoboCup: Exploring Skill-Set-Primitives through Reinforcement Learning.
CoRR, 2023

Addressing Imperfect Symmetry: a Novel Symmetry-Learning Actor-Critic Extension.
CoRR, 2023

FC Portugal 3D Simulation Team: Team Description Paper 2020.
CoRR, 2023

FC Portugal: RoboCup 2023 3D Simulation League Champions.
Proceedings of the RoboCup 2023: Robot World Cup XXVI [Bordeaux, France, 4-10 July, 2023]., 2023

2022
FC Portugal: RoboCup 2022 3D Simulation League and Technical Challenge Champions.
Proceedings of the RoboCup 2022:, 2022

2021
Robust biped locomotion using deep reinforcement learning on top of an analytical control approach.
Robotics Auton. Syst., 2021

6D Localization and Kicking for Humanoid Robotic Soccer.
J. Intell. Robotic Syst., 2021

A CPG-Based Agile and Versatile Locomotion Framework Using Proximal Symmetry Loss.
CoRR, 2021

2020
A Hybrid Biped Stabilizer System Based on Analytical Control and Learning of Symmetrical Residual Physics.
CoRR, 2020

Modeling the deactivation of CaO-based sorbents during multiple Ca-looping cycles for CO<sub>2</sub> post-combustion capture.
Comput. Chem. Eng., 2020

Humanoid Robot Kick in Motion Ability for Playing Robotic Soccer.
Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

2019
Learning to Run Faster in a Humanoid Robot Soccer Environment Through Reinforcement Learning.
Proceedings of the RoboCup 2019: Robot World Cup XXIII [Sydney, 2019

xSS: A Soccer Server extension for automated learning of high-level robotic soccer strategies.
Proceedings of the 2019 IEEE International Conference on Autonomous Robot Systems and Competitions, 2019

Learning high-level robotic soccer strategies from scratch through reinforcement learning.
Proceedings of the 2019 IEEE International Conference on Autonomous Robot Systems and Competitions, 2019

Learning low level skills from scratch for humanoid robot soccer using deep reinforcement learning.
Proceedings of the 2019 IEEE International Conference on Autonomous Robot Systems and Competitions, 2019

2018
Modelling Weightlifting "Training-Diet-Competition" Cycle Ontology with Domain and Task Ontologies.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018


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