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MIOM: A Mixed-Initiative Operational Model for Robots in Urban Search and Rescue
Abstract:In this paper, we describe a Mixed-Initiative Operational Model (MIOM) which directly intervenes on the state of the functionalities embedded into a robot for Urban Search&Rescue (USAR) domain applications. MIOM extends the reasoning capabilities of the vehicle, i.e. mapping, path planning, visual perception and trajectory tracking, with operator knowledge. Especially in USAR scenarios, this coupled initiative has the main advantage of enhancing the overall performance of a rescue mission. In-field experiments with rescue responders have been carried out to evaluate the effectiveness of this operational model.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1124702Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1316
 J. Casper, M. Micire, and R. R. Murphy, “Issues in intelligent robots for search and rescue,” in Proc. SPIE, vol. 4024, 2000, pp. 292–302.
 J. Casper and R. Murphy, “Human-robot interactions during the robot-assisted urban search and rescue response at the world trade center,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 33, no. 3, pp. 367–385, 2003.
 J. L. Burke, R. R. Murphy, M. D. Coovert, and D. L. Riddle, “Moonlight in miami: A field study of human-robot interaction in the context of an urban search and rescue disaster response training exercise,” Hum.-Comput. Interact., vol. 19, no. 1, pp. 85–116, 2004.
 R. Murphy, “Trial by fire
[rescue robots],” Robotics Automation Magazine, IEEE, vol. 11, no. 3, pp. 50–61, 2004.
 R. Murphy, S. Tadokoro, D. Nardi, A. Jacoff, P. Fiorini, H. Choset, and A. Erkmen, “Search and rescue robotics,” in Springer Handbook of Robotics, B. Siciliano and O. Khatib, Eds. Springer Berlin Heidelberg, 2008, pp. 1151–1173.
 E. Guizzo, “Japan earthquake: Robots help search for survivors,” IEEE Spectrum, 2011, http://spectrum.ieee.org/automaton/robotics/ industrial-robots/japan-earthquake-robots-help-search-for-survivors.
 E. Guizzo, “Japan earthquake: more robots to the rescue,” IEEE Spectrum, 2011, http://spectrum.ieee.org/automaton/robotics/ industrial-robots/japanearthquakemore-robots-to-the-rescue.
 G.-J. Kruijff, M. Janicek, S. Keshavdas, B. Larochelle, H. Zender, N. Smets, T. Mioch, M. Neerincx, J. van Diggelen, F. Colas, M. Liu, F. Pomerleau, R. Siegwart, V. Hlavac, T. Svoboda, T. Petrcek, M. Reinstein, K. Zimmermann, F. Pirri, M. Gianni, P. Papadakis, A. Sinha, P. Balmer, N. Tomatis, R. Worst, T. Linder, H. Surmann, V. Tretyakov, S. Corrao, S. Pratzler-Wanczura, and M. Sulk, “Experience in system design for human-robot teaming in urban search & rescue,” in Proceedings of 8th International Conference on Field and Service Robotics, ser. STAR. Spring Verlag, 2012.
 G.-J. M. Kruijff, F. Pirri, M. Gianni, P. Papadakis, M. Pizzoli, A. Sinha, E. Pianese, S. Corrao, F. Priori, S. Febrini, S. Angeletti, V. Tretyakov, and T. Linder, “Rescue robots at earthquake-hit mirandola, italy: a field report,” in Proceedings of the 10th IEEE International Symposium of Safety Security and Rescue Robotics, 2012, pp. 1–8.
 R. Murphy, “Trial by fire
[rescue robots],” IEEE Robotics Automation Magazine, vol. 11, no. 3, pp. 50–61, 2004.
 D. Bruemmer, R. Boring, D. Few, J. Marble, and M. Walton, “”i call shotgun!”: an evaluation of mixed-initiative control for novice users of a search and rescue robot,” in Systems, Man and Cybernetics, 2004 IEEE International Conference on, vol. 3, 2004, pp. 2847–2852.
 R. Wegner and J. Anderson, “Agent-based support for balancing teleoperation and autonomy in urban search and rescue,” Int. J. Robot. Autom., vol. 21, no. 2, pp. 120–128, 2006.
 B. Doroodgar, M. Ficocelli, B. Mobedi, and G. Nejat, “The search for survivors: Cooperative human-robot interaction in search and rescue environments using semi-autonomous robots,” in ICRA, 2010, pp. 2858–2863.
 A. Finzi and A. Orlandini, “Human-robot interaction through mixed-initiative planning for rescue and search rovers,” in Proceedings of the 9th Conference on Advances in Artificial Intelligence, ser. AI*IA’05. Berlin, Heidelberg: Springer-Verlag, 2005, pp. 483–494.
 Y. Okada, K. Nagatani, K. Yoshida, T. Yoshida, and E. Koyanagi, “Shared autonomy system for tracked vehicles to traverse rough terrain based on continuous three-dimensional terrain scanning,” in IROS, 2010, pp. 357–362.
 X. Perrin, R. Chavarriaga, F. Colas, R. Siegwart, and J. d. R. Mill´an, “Brain-coupled interaction for semi-autonomous navigation of an assistive robot,” Robot. Auton. Syst., vol. 58, no. 12, pp. 1246–1255, 2010.
 J. Drury, J. Scholtz, and H. Yanco, “Awareness in human-robot interactions,” in Systems, Man and Cybernetics, 2003. IEEE International Conference on, vol. 1, 2003, pp. 912–918.
 M. Baker, R. Casey, B. Keyes, and H. Yanco, “Improved interfaces for human-robot interaction in urban search and rescue,” in Systems, Man and Cybernetics, 2004 IEEE International Conference on, vol. 3, 2004, pp. 2960–2965.
 J. Shen, J. Ibanez-Guzman, T. C. Ng, and B.-S. Chew, “A collaborative-shared control system with safe obstacle avoidance capability,” in Robotics, Automation and Mechatronics, 2004 IEEE Conference on, vol. 1, 2004, pp. 119–123.
 R. Murphy, , R. R. Murphy, and J. J. Sprouse, “Strategies for searching an area with semi-autonomous mobile robots,” in In Proceedings of Robotics for Challenging Environments, 1996, pp. 15–21.
 A. Carbone, A. Finzi, A. Orlandini, and F. Pirri, “Model-based control architecture for attentive robots in rescue scenarios,” Autonomous Robots, vol. 24, no. 1, pp. 87–120, 2008.
 A. Finzi and F. Pirri, “Representing flexible temporal behaviors in the situation calculus,” in IJCAI. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 2005, pp. 436–441.
 Bluebotics, “Absolem surveillance & rescue,” http://www.bluebotics. com/mobile-robotics/absolem/, 2011.
 F. Pomerleau, F. Colas, R. Siegwart, and S. Magnenat, “Comparing icp variants on real-world data sets,” Autonomous Robots, vol. 34, no. 3, pp. 133–148, April 2013.
 D. Hurych, K. Zimmermann, and T. Svoboda, “Fast learnable object tracking and detection in high-resolution omnidirectional images,” in VISAPP, March 2011.
 K. Zimmermann, P. Zuzanek, M. Reinstein, and V. Hlavac, “Adaptive traversability of unknown complex terrain with obstacles for mobile robots,” in Proceedings of the IEEE International Conference on Robotics and Automation, 2014, pp. 5177–5182.
 M. Liu, F. Colas, and R. Siegwart, “Regional topological segmentation based on mutual information graphs,” in ICRA, 2011, pp. 3269–3274.
 M. Liu, F. Colas, F. Pomerleau, and R. Siegwart, “A Markov semi-supervised clustering approach and its application in topological map extraction,” in IROS, 2012, pp. 4743–4748.
 N. Goerke and S. Braun, “Building semantic annotated maps by mobile robots,” in TAROS, 2009, pp. 149–156.
 M. Menna, M. Gianni, F. Ferri, and F. Pirri, “Real-time autonomous 3D navigation for tracked vehicles in rescue environments,” in IROS, Chicago, USA, 2014.
 F. Ferri, M. Gianni, M. Menna, and F. Pirri, “Point cloud segmentation and 3D path planning for tracked vehicles in cluttered and dynamic environments,” in Proceedings of the 3rd IROS Workshop on Robots in Clutter: Perception and Interaction in Clutter, Chicago, USA, 2014.
 S. Caccamo, R. Parasuraman, F. Baberg, and P. Ogren, “Extending a ugv teleoperation flc interface with wireless network connectivity information,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.
 K. Zimmermann, P. Zuzanek, M. Reinstein, and V. Hlavac, “Adaptive traversability of unknown complex terrain with obstacles for mobile robots,” in ICRA, 2014.
 M. Gianni, F. Ferri, M. Menna, and F. Pirri, “Adaptive robust three-dimensional trajectory tracking for actively articulated tracked vehicles,” Journal of Field Robotics, pp. n/a–n/a, 2015.
[Online]. Available: http://dx.doi.org/10.1002/rob.21584
 F. Colas, S. Mahesh, F. Pomerleau, M. Liu, and R. Siegwart, “3d path planning and execution for search and rescue ground robots,” in Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on, 2013, pp. 722–727.
 F. Ferri, M. Gianni, M. Menna, and F. Pirri, “Dynamic obstacles detection and 3d map updating,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.
 Kinova, “Kinova jaco arm api,” https://github.com/Kinovarobotics/ kinova-ros, 2014.
 M. Gianni, G. Gonnelli, A. Sinha, M. Menna, and F. Pirri, “An augmented reality approach for trajectory planning and control of tracked vehicles in rescue environments,” in Proceedings of the 11th IEEE International Symposium on Safety, Security and Rescue Robotics, Linkoping, Sweden, 2013.
 S. Koenig and M. Likhachev, “D*lite,” in Eighteenth National Conference on Artificial Intelligence. Menlo Park, CA, USA: American Association for Artificial Intelligence, 2002, pp. 476–483.
 M. Quigley, K. Conley, B. P. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A. Y. Ng, “Ros: an open-source robot operating system,” in ICRA Workshop on Open Source Software, 2009.
 N. Gempton, S. Skalistis, J. Furness, S. Shaikh, and D. Petrovic, “Autonomous control in military logistics vehicles: Trust and safety analysis,” in Engineering Psychology and Cognitive Ergonomics. Applications and Services, ser. Lecture Notes in Computer Science, D. Harris, Ed. Springer Berlin Heidelberg, 2013, vol. 8020, pp. 253–262.