Carlo Odesco

Uncertainty-aware Planning with Inaccurate Models for Robotized Liquid Handling

Physics-based simulations and learning-based models are vital for complex robotics tasks like deformable object manipulation and liquid handling. However, these models often struggle with accuracy due to epistemic uncertainty or the sim-to-real gap. For instance, accurately pouring liquid from one c