Towards evaluating recovery strategies for situated grounding problems in human-robot dialogue

Abstract

Robots can use information from their surroundings to improve spoken language communication with people. Even when speech recognition is correct, robots face challenges when interpreting human instructions. These situated grounding problems include referential ambiguities and impossible-to-execute instructions. We present an approach to resolving situated grounding problems through spoken dialogue recovery strategies that robots can invoke to repair these problems. We describe a method for evaluating these strategies in human-robot navigation scenarios.