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Human-Robot Interaction Through Mixed-Initiative Planning for Rescue and Search Rovers

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AI*IA 2005: Advances in Artificial Intelligence (AI*IA 2005)

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Abstract

We present an approach to human-robot interaction in Urban Search and Rescue (USAR) domains based on reactive mixed-initiative planning. A model-based executive monitoring system is used to coordinate the operator’s interventions and the concurrent activities of a rescue rover. In this setting, the user’s and the robot’s activities are coordinated by a continuos reactive planning process. We show the advantages of this approach for both the operator situation awareness and human-robot interaction during rescue missions. We present the implementation of the control architecture on a robotic system (DORO) providing some experimental results obtained from testing in rescue arenas.

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References

  1. Ai-Chang, M., Bresina, J., Charest, L., Chase, A., Hsu, J.C.-J., Jonsson, A., Kanefsky, B., Morris, P., Rajan, K., Yglesias, J., Chafin, B.G., Dias, W.C., Maldague, P.F.: Mapgen: mixed-initiative planning and scheduling for the mars exploration rover mission. Intelligent Systems, IEEE 19(1), 8–12 (2004)

    Article  Google Scholar 

  2. Allen, J., Ferguson, G.: Human-machine collaborative planning. In: Proceedings of the 3rd international NASA Workshop on Planning and Scheduling for Space (2002)

    Google Scholar 

  3. Bruemmer, D.J., Boring, R.L., Few, D.A., Marble, J.L., Walton, M.C.: “i call shotgun!”: An evaluation of mixed-initiative control for novice users of a search and rescue robot. In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics (2003)

    Google Scholar 

  4. Burke, J., Murphy, R.R., Coovert, M., Riddle, D.: Moonlight in miami: A field study of human-robot interaction in the context of an urban search and rescue disaster response training exercise. Special Issue of Human-Computer Interaction 19(1,2), 21–38 (2004)

    Google Scholar 

  5. Burstein, M., McDermott, D.: Issues in the development of human-computer mixed-initiative planning. In: Cognitive Technology, pp. 285–303. Elsevier, Amsterdam (1996)

    Google Scholar 

  6. Dautenhahn, K., Werry, I.: Issues of robot-human interaction dynamics in the rehabilitation of children with autism (2000)

    Google Scholar 

  7. Drury, J.L., Scholtz, J., Yanco, H.A.: Awareness in human-robot interaction. In: Proceedings of the IEEE Conference on Systems, Man and Cybernetics (October 2003)

    Google Scholar 

  8. Finzi, A., Ingrand, F., Muscettola, N.: Model-based executive control through reactive planning for autonomous rovers. In: Proceedings IROS 2004, pp. 879–884 (2004)

    Google Scholar 

  9. Finzi, A., Pirri, F.: Flexible interval planning in concurrent temporal golog. In: Working notes of the 4th International Cognitive Robotics Workshop (2004)

    Google Scholar 

  10. Jacoff, A., Messina, E., Evans, J.: A reference test course for urban search and rescue robots. In: FLAIRS Conference 2001, pp. 499–503 (2001)

    Google Scholar 

  11. Kiesler, S., Hinds, P.: Introduction to the special issue on human-robot interaction. Special Issue of Human-Computer Interaction 19(1,2), 1–8 (2004)

    Google Scholar 

  12. Lang, S., Kleinehagenbrock, M., Hohenner, S., Fritsch, J., Fink, G.A., Sagerer, G.: Providing the basis for human-robot-interaction: a multi-modal attention system for a mobile robot. In: Proceedings of the 5th international conference on Multimodal interfaces, pp. 28–35. ACM Press, New York (2003)

    Chapter  Google Scholar 

  13. Maxwell, B.A., Smart, W.D., Jacoff, A., Casper, J., Weiss, B., Scholtz, J., Yanco, H.A., Micire, M., Stroupe, A.W., Stormont, D.P., Lauwers, T.: 2003 AAAI robot competition and exhibition. AI Magazine 25(2), 68–80 (2004)

    Google Scholar 

  14. McCarthy, J.: Situations, actions and causal laws. Technical report, Stanford University, Reprinted in Semantic Information Processing M. Minsky (ed). pp. 410-417. MIT Press, Cambridge (1963)

    Google Scholar 

  15. Baker, B.K.M., Casey, R., Yanco, H.A.: Improved interfaces for human-robot interaction in urban search and rescue. In: Proceedings of the IEEE Conference on Systems, Man and Cybernetics (2004) (to appear)

    Google Scholar 

  16. Murphy, R.R.: Human-robot interaction in rescue robotics. IEEE Transactions on Systems, Man and Cybernetics, Part C 34(2), 138–153 (2004)

    Article  MathSciNet  Google Scholar 

  17. Muscettola, N., Dorais, G.A., Fry, C., Levinson, R., Plaunt, C.: Idea: Planning at the core of autonomous reactive agents. In: Proc. of NASA Workshop on Planning and Scheduling for Space (2002)

    Google Scholar 

  18. Muscettola, N., Nayak, P.P., Pell, B., Williams, B.C.: Remote agent: To boldly go where no AI system has gone before. Artificial Intelligence 103(1-2), 5–47 (1998)

    Article  MATH  Google Scholar 

  19. Myers, K.L., Jarvis, P.A., Tyson, W.M., Wolverton, M.J.: A mixed-initiative framework for robust plan sketching. In: Proceedings of the 2003 International Conference on Automated Planning and Scheduling (2003)

    Google Scholar 

  20. Pinto, J.A., Reiter, R.: Reasoning about time in the situation calculus. Annals of Mathematics and Artificial Intelligence 14(2-4), 251–268 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  21. Pirri, F., Reiter, R.: Planning with natural actions in the situation calculus. In: Logic-based artificial intelligence, 213–231 (2000)

    Google Scholar 

  22. Reiter, R.: Natural actions, concurrency and continuous time in the situation calculus. In: Proceedings of KR 1996, pp. 2–13 (1996)

    Google Scholar 

  23. Reiter, R.: Knowledge in action: logical foundations for specifying and implementing dynamical systems. MIT Press, Cambridge (2001)

    MATH  Google Scholar 

  24. Scholtz, J.J., Young, J., Drury, J.L., Yanco, H.A.: Evaluation of human-robot interaction awareness in search and rescue. In: Proceedings of the 2004 International Conference on Robotics and Automation (April 2004)

    Google Scholar 

  25. Sidner, C., Dzikovska, M.: Human-robot interaction: Engagement between humans and robots for hosting activities. In: The Fourth IEEE International Conference on Multi-modal Interfaces, pp. 123–128 (2002)

    Google Scholar 

  26. Tadokoro, S., Kitano, H., Takahashi, T., Noda, I., Matsubara, H., Shinjoh, A., Koto, T., Takeuchi, I., Takahashi, H., Matsuno, F., Hatayama, M., Nobe, J., Shimada, S.: The robocup-rescue project: A robotic approach to the disaster mitigation problem. In: ICRA 2000, pp. 4089–4094 (2000)

    Google Scholar 

  27. Tadokoro, S.: Robocuprescue robot league. In: Kaminka, G.A., Lima, P.U., Rojas, R. (eds.) RoboCup 2002. LNCS (LNAI), vol. 2752, pp. 453–459. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  28. Volpe, R., Nesnas, I.A.D., Estlin, T., Mutz, D., Petras, R., Das, H.: The claraty architecture for robotic autonomy. In: IEEE 2001 Aerospace Conference (March 2001)

    Google Scholar 

  29. Williams, B., Ingham, M., Chung, S., Elliott, P., Hofbaur, M., Sullivan, G.: Model-based programming of fault-aware systems. AI Magazine (Winter 2003)

    Google Scholar 

  30. Yanco, H., Drury, J.: A taxonomy for human-robot interaction. In: Proc. AAAI Fall Symposium on Human-Robot Interaction, pp. 111–119 (2002)

    Google Scholar 

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Finzi, A., Orlandini, A. (2005). Human-Robot Interaction Through Mixed-Initiative Planning for Rescue and Search Rovers. In: Bandini, S., Manzoni, S. (eds) AI*IA 2005: Advances in Artificial Intelligence. AI*IA 2005. Lecture Notes in Computer Science(), vol 3673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558590_49

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  • DOI: https://doi.org/10.1007/11558590_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29041-4

  • Online ISBN: 978-3-540-31733-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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