Agent-based Reconfigurable Natural Language Interface to Robots - Human-Agent Interaction using Task-specific Controlled Natural Languages

Tamás Mészáros, Tadeusz Dobrowiecki

2017

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.

Paper Citation

in Harvard Style

Mészáros T. and Dobrowiecki T. (2017). Agent-based Reconfigurable Natural Language Interface to Robots - Human-Agent Interaction using Task-specific Controlled Natural Languages . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 632-639. DOI: 10.5220/0006205306320639

in Bibtex Style

@conference{icaart17,
author={Tamás Mészáros and Tadeusz Dobrowiecki},
title={Agent-based Reconfigurable Natural Language Interface to Robots - Human-Agent Interaction using Task-specific Controlled Natural Languages},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={632-639},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006205306320639},
isbn={978-989-758-220-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Agent-based Reconfigurable Natural Language Interface to Robots - Human-Agent Interaction using Task-specific Controlled Natural Languages
SN - 978-989-758-220-2
AU - Mészáros T.
AU - Dobrowiecki T.
PY - 2017
SP - 632
EP - 639
DO - 10.5220/0006205306320639