Bio
Pierre-Alexandre Leziart received a Master's degree in Mechatronics from École Normale Supérieure de Rennes, France, in 2019. He then received a Ph.D. in Robotics from the University of Toulouse, France, in 2022 after working 3 years at LAAS-CNRS, France, as part of the Gepetto team. His thesis focused on developping a model predictive control architecture able to exploit the dynamical capabilities of a lightweight quadruped robot. He continued working in the Gepetto team as a postdoc until April 2024. During that time he explored quadruped locomotion using reinforcement learning approaches. He started a postdoc at JRL in May 2024 through the JSPS program. His current work focuses on reinforcement learning locomotion for humanoid robots.
Publications
The publication list may not be complete, especially for publications prior to 2017. We are working on updating it.
| Title | Authors | Conference/Book | Year | bib | mov | |
| Expert-Guided Imitation for Learning Humanoid Loco-Manipulation from Motion Capture | R. Singh, P.-A. Leziart, M. Murooka, M. Morisawa, E. Yoshida, F. Kanehiro | IEEE/SICE International Symposium on System Integration | 2026 | |||
| Learning Humanoid Loco-manipulation with Constraints as Terminations | P.-A. Leziart, M. Morisawa, F. Kanehiro | IEEE/SICE International Symposium on System Integration | 2026 |