Miguel Abreu

A Hybrid Biped Stabilizer System Based on Analytical Control and Learning of Symmetrical Residual Physics pdf

Nuno Lau, Artur Pereira, Miguel Abreu, 2020, ArXiv.

Learning hybrid locomotion skills—Learn to exploit residual actions and modulate model-based gait control

Zhibin Li, N. Lau, Artur Pereira, 2023, Frontiers in Robotics and AI.

Learning Hybrid Locomotion Skills -- Learn to Exploit Residual Dynamics and Modulate Model-based Gait Control

Zhibin Li, N. Lau, Artur Pereira, 2020, 2011.13798.

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

N. Lau, Miguel Abreu, Luís Paulo Reis, 2023, ArXiv.

Learning to Run Faster in a Humanoid Robot Soccer Environment Through Reinforcement Learning

Luís Paulo Reis, Nuno Lau, Luis Paulo Reis, 2019, RoboCup.

Learning low level skills from scratch for humanoid robot soccer using deep reinforcement learning

Nuno Lau, Miguel Abreu, Armando Sousa, 2019, 2019 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC).

Robust Biped Locomotion Using Deep Reinforcement Learning on Top of an Analytical Control Approach

N. Lau, Artur Pereira, L. Reis, 2021, Robotics Auton. Syst..

Humanoid Robot Kick in Motion Ability for Playing Robotic Soccer

Luís Paulo Reis, Miguel Abreu, Henrique Teixeira, 2020, 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC).