Foster, Mary Ellen

Isard, Amy

Petrick, Ronald P. A.

Heriot Watt Pure

Social State Recognition and Knowledge-Level Planning for Human-Robot Interaction in a Bartender Domain

We discuss preliminary work focusing on the problem of combining social interaction with task-based action in a dynamic, multiagent bartending domain, using an embodied robot. We show how the users' spoken input is interpreted, discuss how social states are inferred from the parsed speech together with low-level information from the vision system, and present a planning approach that models task, dialogue, and social actions in a simple bartending scenario. This approach allows us to build interesting plans, which have been evaluated in a real-world study, using a general purpose, off-the-shelf planner, as an alternative to more mainstream methods of interaction management

Edinburgh Research Explorer

https://www.pure.ed.ac.uk/ws/files/20129584/Petrick_Foster_et_al_2012_Social_State_Recognition_and_Knowledge_Level_Planning_for_Human_Robot_Interaction_in_a_Bartender_Domain.pdf

Social State Recognition and Knowledge-Level Planning for Human-Robot Interaction in a Bartender Domain

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Heriot Watt Pure

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Heriot Watt Pure