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

Ronald P. A. Petrick, Mary Ellen Foster

Research output: Contribution to conferencePaper

5 Citations (Scopus)

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.
Original languageEnglish
Number of pages4
Publication statusPublished - 2016
EventAAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction 2016 - Arlington, VA, United States
Duration: 17 Nov 201619 Nov 2016
http://ai-hri.github.io/2016/

Workshop

WorkshopAAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction 2016
Abbreviated titleAI-HRI 2016
CountryUnited States
CityArlington, VA
Period17/11/1619/11/16
Internet address

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  • Cite this

    Petrick, R. P. A., & Foster, M. E. (2016). Using General-Purpose Planning for Action Selection in Human-Robot Interaction. Paper presented at AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction 2016, Arlington, VA, United States.