Quantifying Uncertainty and Diversity for Robust Embodied AI and Robot Learning

Uncertainty is crucial for robots to efficiently learn and act robustly in the physical world. Quantifying and leveraging uncertainty can enhance the generalizability and decision-making capabilities of embodied AI agents.