About this document
Uncertainty Framework for Multimodal Models by linglingchen9611 is a document available to read on EtoBox.
This document presents a framework for addressing uncertainty in multimodal foundation models used for robotic perception and planning. It distinguishes between perception uncertainty, related to sensory interpretation, and decision uncertainty, related to plan generation, and proposes methods for quantifying and mitigating these uncertainties. Empirical results show that the framework can reduce variability by up to 40% and improve task success rates by 5%, highlighting the importance of targeted intervent
- Author
- linglingchen9611
- Language
- EN