The 8th IFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control (LHMNC 2024) took place in Besançon, France from the 10 to the 12 of June 2024. Professor Alexandre Anahory, from IE Research Datalab, attended the conference to exchange ideas on control theory, discuss new approaches for modeling, analysis and control design, and to present his state-of-the-art results on applications to complex dynamical engineering systems.
Professor Anahory organized the session “Learning-Based Physics-Enhanced Mechanical Systems and Control”, in collaboration with Leonardo Colombo from CSIC. In addition, Alexandre gave two talks:
- “Learning Cost Functions for Reinforced Learned Controllers in a Quadrupedal Robot”. In this research, Professor Anahory considers a reinforced learning controller developed for a quadrupedal robot and implemented a data-driven method to investigate the cost function for which it is an optimal controller. This method aims to shed light on the interpretability of the controller.
- “Virtual Constraints on Riemannian Homogeneous Spaces”. Alexandre’s second talk focused on virtual constraints: relations on the configuration variables of a control system imposed through feedback control and the action of actuators, instead of through physical connections such as gears or contact conditions with the environment. This talk presented the overlap between mathematics, robotics and AI.
If you are interested in Alexandre Anahory’s research on control theory, check his publications and these past news in our blog: