Thesis of Alexandre Chapin
Subject:
Disentangled Latent Manipulation Learning for Dexterous Robotic Manipulation
Start date: 01/10/2022
End date (estimated): 01/10/2025
Advisor: Liming Chen
Coadvisor: Emmanuel Dellandréa
Summary:
Learn embeddings of states and action sequences and capture the structure of the environment’s dynamics,, and thereby improve data efficiency in our end-to-end RL for dexterous bimanual robotic manipulation.