Plan-Based Social Interaction with a Robot Bartender

Ronald P. A. Petrick, Mary Ellen Foster

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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. We 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. The resulting system infers social states from low-level sensors, using vision and speech as input modalities, and uses the knowledge-level PKS planner to construct plans with task, dialogue, and social actions.
Original languageEnglish
Title of host publicationProceedings of the ICAPS 2013 Application Showcase
Pages10-13
Number of pages4
Publication statusPublished - 1 Jun 2013

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