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Seminar talk

Planning for Social Interaction in a Robot Bartender Domain, R. Petrick, slides from a talk presented at the School of Information Technologies, University of Sydney, Sydney, Australia, 2013-12-13.

[ slides ]

Abstract

A robot coexisting with humans must not only be able to perform physical tasks, but must also be able to interact with humans in a socially appropriate manner. In many social settings, this involves the use of social signals like gaze, facial expression, and language. In this talk, I describe an application of planning to task-based social interaction using a robot that must interact with multiple human agents in a simple bartending domain. Social states are inferred from low-level sensors, using vision and speech as input modalities, and the knowledge-level PKS planner is used to construct plans with task, dialogue, and social actions, as an alternative to current mainstream methods of interaction management. The resulting system has been evaluated in a real-world study with human subjects.