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.

References

  1. Bastianelli E., G. Castellucci, D. Croce, R. Basili, D. Nardi, 2014. Effective and Robust Natural Language Understanding for Human obot Interaction, ECAI 2014, T. Schaub et al. (Eds.).
  2. Breuer, Thomas, et al. 2012. Johnny: An autonomous service robot for domestic environments. Journal of intelligent & robotic systems 66.1-2 (2012): 245-272.
  3. Burgard W., A.B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, S. Thrun, 1999. Experiences with an interactive museum tour-guide robot, Artificial Intelligence 114 (1999) 3-55.
  4. Fardana A.R., S. Jain, I. Jovancevic, Y. Suri, C. Morand and N.M. Robertson, 2013. Controlling a Mobile Robot with Natural Commands based on Voice and Gesture, Workshop on Human Robot Interaction (HRI) for Assistance and Industrial Robots, VisionLab, HeriotWatt University, 2013.
  5. Ferland F., R. Chauvin, D. Létourneau, F. Michaud, 2014. Hello Robot, Can You Come Here? Using ROS4iOS to Provide Remote Perceptual Capabilities for Visual Location, Speech and Speaker Recognition, Proc. HRI 7814 the 2014 ACM/IEEE Int. Conf. on Human-Robot Interaction, Pages 101-101.
  6. Fong T., I. Nourbakhsh, K. Dautenhahn, 2003. A survey of socially interactive robots, Robotics and Autonomous Systems 42 (2003) 143-166.
  7. Green A., 2009. Design and Evaluating Human-Robot Communication, PhD, KTH, 2009.
  8. H2020 - Robotics 2020 - Multi-Annual Roadmap For Robotics in Europe - http://www.eu-robotics.net/
  9. Howard T.M., I. Chung, O. Propp, M.R. Walter, and N. Roy, 2014. Efficient Natural Language Interfaces for Assistive Robots, IROS 2014 Workshop on Rehabilitation and Assistive Robotics, Sept 14-18, 2014, Chicago.
  10. Huber A., Bernd L. 2002. Users Talk to their Model Trains: Interaction with a Speech-based Multi-Agent System. Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2002, July 15-19, Bologna, Italy,
  11. Kemke C., 2007. “From Saying to Doing” - Natural Language Interaction with Artificial Agents and Robots, Ch 9, Human-Robot Interaction, (ed.) N. Sarkar, Sept 2007, Itech Education and Publishing, Vienna, Austria.
  12. Khayrallah H., S. Trott, J. Feldman, 2015. Natural Language For Human Robot Interaction, Proc. of the Workshop on Human-Robot Teaming at the 10th ACM/IEEE Int. Conf. on Human-Robot Interaction, Portland, Oregon.
  13. Lauria S., T. Kyriacou, G. Bugmann, J. Bos, E. Klein, 2002. Converting Natural Language Route Instructions into Robot Executable Procedures, Proc. 11th IEEE Int. Work-shop on Robot and Human Interactive Communication, pp. 223-228.
  14. MacMahon M., B. Stankiewicz, B. Kuipers, 2006. Walk the Talk: Connecting Language, Knowledge, and Action in Route Instructions, Proc. AAAI'06 the 21st Nat. Conf. on Artificial Intelli. - Vol 2, pp. 1475-1482.
  15. R5COP 2016, http://r5cop.mit.bme.hu/
  16. Rousseau V., F. Ferland, D. Letourneau, F. Michaud, 2013. Sorry to Interrupt, But May I Have Your Attention? Preliminary Design and Evaluation of Autonomous Engagement in HRI, J. of Human-Robot Interaction, Vol. 2, No. 3, 2013, pp. 41-61.
  17. Schiffer S., N. Hoppe, and G. Lakemeyer, 2012. Natural Language Interpretation for an Interactive Service Robot in Domestic Domains, J. Filipe and A. Fred (Eds.): ICAART 2012, CCIS 358, pp. 39-53, 2012.
  18. Stenmark M., J. Malec, 2015. Connecting natural language to task demonstrations and low-level control of industrial robots, Workshop on Multimodal Semantics for Robotic Systems (MuSRobS) IEEE/RSJ Int. Conf. on Intelligent Robots and Systems 2015.
  19. Tellex S., T. Kollar, S. Dickerson, M.R.Walter, A. Gopal Banerjee, S. Teller, N. Roy, 2011. Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation, Proc. of the Nat. Conf. on Artificial Intelli. (AAAI 2011).
  20. Wyner, Adam, et al. 2009. On controlled natural languages: Properties and prospects. International Workshop on Controlled Natural Language. Springer Berlin Heidelberg, 2009.
Download


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