Stephanie ARAVECCHIA

2 accepted papers

2026

Perception-Driven Estimation of Terrain Motion Resistance for UGVs

Tom Bourbon, Stephanie Aravecchia, Cedric Pradalier

ICRA 2026poster

Accurate estimation of wheel–terrain interaction parameters is important for efficient navigation of Unmanned Ground Vehicles in unstructured outdoor environments. In this paper, we propose a hybrid data-driven and model-based method to estimate a priori emph{motion resistance}, a terrain-specific p…

Cited by 0 Scholar ↗

2021

Learning Behaviors through Physics-driven Latent Imagination

Antoine Richard, Stephanie ARAVECCHIA, Matthieu Geist, Cédric Pradalier

CoRL 2021oral

Model-based reinforcement learning (MBRL) consists in learning a so-called world model, a representation of the environment through interactions with it, then use it to train an agent. This approach is particularly interesting in the con-text of field robotics, as it alleviates the need to train onl…

Cited by 7 Source ↗Scholar ↗