Qualitative Spatial Modelling of Human Route Instructions to Mobile Robots

This paper describes our work on improving interaction between humans and mobile robots on navigation tasks. To represent and reason about humans' route instructions, a user-centered qualitative spatial model- the Conceptual Route Graph - is introduced. Three reasoning strategies based on this...

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Bibliographic Details
Main Authors: Hui Shi, Cui Jian, Krieg-Bruckner, B.
Format: Conference Proceeding
Language:English
Subjects:
Cognition
Cognitive robotics
Collaboration
Computer aided instruction
human-robot interaction
Humans
Mobile robots
mode confusion
Natural languages
Navigation
qualitative spatial representation and reasoning
Robot control
Robotics and automation
user focus
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Summary:This paper describes our work on improving interaction between humans and mobile robots on navigation tasks. To represent and reason about humans' route instructions, a user-centered qualitative spatial model- the Conceptual Route Graph - is introduced. Three reasoning strategies based on this conceptual model are discussed, which enable a mobile robot to generate different clarification responses if spatial mismatches are detected in route instructions. Moreover, results of an empirical study to evaluate and compare their effects on people's navigation activities are presented.
DOI:10.1109/ACHI.2010.25