Teaching Robots to Infer Human Intent

To create AI agents capable of understanding and executing human instructions in real-world environments, researchers from the University of Washington and MIT propose a novel framework called Follow Instructions with Social and Embodied Reasoning (FISER).

This system is designed to address the inherent ambiguity in natural language instructions by leveraging both social and embodied reasoning.