Cognition and communication for autonomous indoor navigation

Indoor autonomous navigation presents different challenges from autonomous driving. This talk demonstrates how knowledge about animal and human navigation through indoor space can support efficient robot navigation there. Given a large, novel, complex environment, the robot learns a cognitive spatial model for it and applies that model to reason and communicate about navigation there. Moreover, the robot produces decisions in a way that makes its actions, plans, and confidence readily explainable to people in natural language.