Using General-Purpose Planning for Action Selection in Human-Robot Interaction

Petrick, R. P.A. and Foster, M. E. (2016) Using General-Purpose Planning for Action Selection in Human-Robot Interaction. In: AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction (AI-HRI 2016), Arlington, VA, USA, 17-19 Nov 2016, pp. 71-74.

Abstract

A central problem in designing and implementing interactive systems—action selection—is also a core research topic in automated planning. While numerous toolkits are available for building end-to-end interactive systems, the tight coupling of representation, reasoning, and technical frameworks found in these toolkits often makes it difficult to compare or change the underlying domain models. In contrast, the automated planning community provides general-purpose representation languages and multiple planning engines that support these languages. We describe our recent work on automated planning for task-based social interaction, using a robot that must interact with multiple humans in a bartending domain.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Foster, Dr Mary Ellen
• Authors: Petrick, R. P.A., and Foster, M. E.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• Copyright Holders: Copyright © 2016 Association for the Advancement of Artificial Intelligence
• Publisher Policy: Reproduced with the permission of the publisher.

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
70165	1	MUMMER	Mary Ellen Foster	European Commission (EC)	688147	SCHOOL OF COMPUTING SCIENCE