A SEMANTICALLY RICH POLICY BASED APPROACH TO ROBOT CONTROL

Matthew Johnson, Jeffery Bradshaw, Paul Feltovich, Renia Jeffers, Hyuckchul Jung, Andrzej Uszok

2006

Abstract

In this paper we describe our approach to enhancing control of robotic systems by providing domain and policy services via KAoS. Recently developed languages such as OWL provide a powerful descriptive logic foundation that can be used to express semantically rich relationships between entities and actions, and thus create complex context sensitive policies. KAoS provides a tool to create policies using OWL and an infrastructure to enforce these policies on robots. We contend that a policy-based approach can provide significant advantages in controlling robotic systems and is a much more natural way for operators to interact with and manage multiple robots.

References

  1. Allen, J. F., et al 2001. D.K. Byron, M. Dzikovska, G. Ferguson, L. Galescu, A. Stent, “Towards conversational human-computer interaction”, AI Magazine, 22(4), 27-35.
  2. Bradshaw, J. M., et al, 2004. “Making agents acceptable to people”, Intelligent Technologies for Information Analysis: Advances in Agents, Data Mining, and Statistical Learning. (pp. 355-400). Berlin: Springer Verlag.
  3. Carvalho, M., et al 2002. M. R. Breedy, “Supporting Flexible Data Feeds in Dynamic Sensor Grids through Mobile Agents”, Mobile Agent, pp.171-185.
  4. Chambers, N., 2005.James Allen, Lucian Galescu, and Hyuckchul Jung. A Dialogue-Based Approach to Multi-Robot Team Control. In Proceedings 3rd International Multi-Robot Systems Workshop. Washington, DC. March 14-16.
  5. Feltovich, P.J., et al 2004. Bradshaw, J.M., Jeffers, R., Suri, N. & Uszok, A. (2004). Social order and adaptability in animal and human cultures as analogues for agent communities: Toward a policybased approach. In A. Omacini, P. Petta, & J. Pitt (Eds.), Engineering societies for the agents world IV (pp.21-48). Lecture Notes in Computer Science Series. Heidelberg, Germany: Springer-Verlag.
  6. Gerkey, B. et al. 2003. R. T. Vaughan and A. Howard. "The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems" Proceedings of the 11th International Conference on Advanced Robotics, pages 317-323, Coimbra, Portugal, June 2003
  7. Johnson, M., et al, 2003. “KAoS semantic policy and domain services: An application of DAML to Web services-based grid architectures”, Proceedings of the AAMAS 03 Workshop on Web Services and AgentBased Engineering, Melbourne, Australia.
  8. Mataric, M., 2001. “Learning in behavior-based multirobot systems: Policies, models, and other agents.” Cognitive Systems Research, special issue on Multidisciplinary studies of multi-agent learning, 2(1):81--93, April.
  9. Sierhuis, M., et al 2003. W. J. Clancey, and R. v. Hoof, "Brahms: a multi-agent modelling environment for simulating social phenomena", presented at First conference of the European Social Simulation Association (SIMSOC VI), Groningen, The Netherlands.
  10. Suri, N. et al, 2003. “DAML-based policy enforcement for semantic data transformation and filtering in multiagent systems”, Proceedings of the Autonomous Agents and Multi-Agent Systems Conference Melbourne, Australia, New York, NY: ACM Press.
  11. Tambe, M. 1997 Towards Flexible Teamwork Journal of Artificial Intelligence Research, Volume 7, Pages 83- 124.
  12. Tonti, G. et al, 2003. “Semantic Web languages for policy representation and reasoning: A comparison of KAoS, Rei, and Ponder”, International Semantic Web Conference, Sanibel Island, Florida.
  13. Williams, K. 2004. “Summary of Unmanned Aircraft Accident/Incident Data: Human Factors Implications”, Technical Report.
  14. Wolff, M., 1999 “The Automation debate revisited: Computer Clash”, Flight Safety Australia, SeptemberOctober.
  15. Yanco, H., 2004. J. Drury, J. Scholtz, “Beyond Usability Evaluation: Analysis of Human-Robot Interaction at a Major Robotics Competition”, Journal of HumanComputer Interaction.
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Paper Citation


in Harvard Style

Johnson M., Bradshaw J., Feltovich P., Jeffers R., Jung H. and Uszok A. (2006). A SEMANTICALLY RICH POLICY BASED APPROACH TO ROBOT CONTROL . In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-60-3, pages 318-325. DOI: 10.5220/0001219003180325


in Bibtex Style

@conference{icinco06,
author={Matthew Johnson and Jeffery Bradshaw and Paul Feltovich and Renia Jeffers and Hyuckchul Jung and Andrzej Uszok},
title={A SEMANTICALLY RICH POLICY BASED APPROACH TO ROBOT CONTROL},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2006},
pages={318-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001219003180325},
isbn={978-972-8865-60-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - A SEMANTICALLY RICH POLICY BASED APPROACH TO ROBOT CONTROL
SN - 978-972-8865-60-3
AU - Johnson M.
AU - Bradshaw J.
AU - Feltovich P.
AU - Jeffers R.
AU - Jung H.
AU - Uszok A.
PY - 2006
SP - 318
EP - 325
DO - 10.5220/0001219003180325