SAIN: Structure-Aware Interactive Navigation with Active Dialogue Grounding for Mobile Robot
SAIN addresses ambiguous human instructions in robot navigation by using active dialogue to build a persistent internal state. It compiles conversation answers into target evidence, route memory, and object labels to guide a unified policy for interactive goal navigation without needing task-specific training.