Agent-based reconfigurable natural language interface to robots human-agent interaction using task-specific controlled natural languages

Tamás Mészáros, Tadeusz Dobrowiecki

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

Abstract

We present the architecture of a flexible natural language based interface to robots involved in tasks in a mixed-initiative human-robot environment. The designed interface uses a bidirectional natural language communication pertinent to the user, the robot and the tasks at hand. Tasks are executed via agents that can communicate and engage in conversation with the user using task-specific controlled natural languages. The final interface language is dynamically composed and reconfigured at the interface level according to the tasks and skills of the robotic system. The multi-agent infrastructure is fused with the ROS robotic middleware to provide seamless communication to all system components at various level of abstraction.

Original languageEnglish
Title of host publicationICAART 2017 - Proceedings of the 9th International Conference on Agents and Artificial Intelligence
PublisherSciTePress
Pages632-639
Number of pages8
Volume2
ISBN (Electronic)9789897582202
Publication statusPublished - Jan 1 2017
Event9th International Conference on Agents and Artificial Intelligence, ICAART 2017 - Porto, Portugal
Duration: Feb 24 2017Feb 26 2017

Other

Other9th International Conference on Agents and Artificial Intelligence, ICAART 2017
CountryPortugal
CityPorto
Period2/24/172/26/17

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Keywords

  • Controlled natural language (CNL)
  • Human-machine interaction (HMI)
  • Human-robot interface (HRI)
  • Human/robot-communication (HCL)
  • Robot operating system (ROS)

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence

Cite this

Mészáros, T., & Dobrowiecki, T. (2017). Agent-based reconfigurable natural language interface to robots human-agent interaction using task-specific controlled natural languages. In ICAART 2017 - Proceedings of the 9th International Conference on Agents and Artificial Intelligence (Vol. 2, pp. 632-639). SciTePress.