3 papers
cs.RO2021
Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust
Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong +4
Navigation problems under unknown varying conditions are among the most important and well-studied problems in the control field. Classic model-based adaptive control methods can b…
cs.RO2020
Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation
Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong +1
Transferring learning-based models to the real world remains one of the hardest problems in model-free control theory. Due to the cost of data collection on a real robot and the li…
eess.SY2019
An MPC Approach to Transient Control of Liquid-Propellant Rocket Engines
Sergio Pérez-Roca, Julien Marzat, Emilien Flayac +5
The current context of launchers reusability requires the improvement of control algorithms for their liquid-propellant rocket engines. Their transient phases are generally still p…