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Essential technical and intellectual abilities for autonomous mobile service medical robots

  • Rogatkin, Dmitry A. (Laboratory of Medical and Physics Research, MONIKI named after M.F. Vladimirskiy) ;
  • Velikanov, Evgeniy V. (LLC "R&D Center EOS-Medica")
  • Received : 2017.12.25
  • Accepted : 2018.02.22
  • Published : 2018.03.25
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Abstract

Autonomous mobile service medical robots (AMSMRs) are one of the promising developments in contemporary medical robotics. In this study, we consider the essential technical and intellectual abilities needed by AMSMRs. Based on expert analysis of the behavior exhibited by AMSMRs in clinics under basic scenarios, these robots can be classified as intellectual dynamic systems acting according to a situation in a multi-object and multi-agent environment. An AMSMR should identify different objects that define the presented territory (rooms and paths), different objects between and inside rooms (doors, tables, and beds, among others), and other robots. They should also identify the means for interacting with these objects, people and their speech, different information for communication, and small objects for transportation. These are included in the minimum set required to form the internal world model in an AMSMR. Recognizing door handles and opening doors are some of the most difficult problems for contemporary AMSMRs. The ability to recognize the meaning of human speech and actions and to assist them effectively are other problems that need solutions. These unresolved issues indicate that AMSMRs will need to pass through some learning and training programs before starting real work in hospitals.

Keywords

References

  1. Burgard, W. and Hebert, M. (2008), World Modelling, in Springer Handbook of Robotics, Springer, Berlin, Germany, 853-869.
  2. Butter, M., Rensma, A., Boxel, J., Kalisingh, S., Schoone, M., Leis, M., Gelderblom, G., Gremers, G., Wilt, M., Kortekaas, W., Thielmann, A., Cuhls, K., Sachinopoulous, A. and Korhomen, I. (2008), Robotics for Healthcare, Final Report of the Study within Framework of the e-Health Activities of the EU Comission, EU Comission, DG Information Society, Brussel, Belgium.
  3. Ciupe, V. and Maniu, I. (2014), New Trends in Service Robotics, in New Trends in Medical and Service Robots, Springer Publishing, Cham, Switzerland, 57-74.
  4. Coltin, B., Liemhetcharat, S., Mericli, C., Tay, J. and Veloso, M. (2010), "Multi-humanoid world modelling in standard platform robot soccer", Proceedings of 2010 IEEE-RAS International Conference on Humanoid Robots, Nashville, Tennessee, U.S.A., December.
  5. Elfring, J., Van den Dries, S., Van de Molengraft, M. and Steinbuch, M. (2013), "Semantic world modeling using probabilistic multiple hypothesis anchoring", Robot. Autonom. Syst., 61(2), 95-105. https://doi.org/10.1016/j.robot.2012.11.005
  6. Evans, M. (1994), "Helpmate: An autonomous mobile robot courier for hospitals", Proceedings of the International Conference on Intelligent Robots and Systems (IROS'94), Munich, Germany, September.
  7. Kulakowski, K. and Was, J. (2010), "World model for autonomous mobile robot-formal approach", Proceedings of the 18th International Conference on Intelligent Information Systems (IIS'2010), Siedlce, Poland, June.
  8. Kvale, S. (1996), InterViews: An Introduction to Qualitative Research Interviewing, Sage Publications, Thousand Oaks, California, U.S.A.
  9. Mastrogiovanni, F. and Chong, N.Y. (2013), "The need for a research agenda in intelligent robotics", Intell. Serv. Robot., 6(1), 1-3. https://doi.org/10.1007/s11370-012-0127-x
  10. Mericli1, C ., Veloso, M. and Akin, H.L. (2011), "Task refinement for autonomous robots using complementary corrective human feedback", J. Adv. Robot. Syst., 8(2), 68-79. https://doi.org/10.5772/50906
  11. Rogatkin, D.A., Lapitan, D.G. and Lapaeva, L.G. (2013), "Conception of the mobile autonomous service medical robots", Biomeditcinskaya Radioelektronika-Biomed. Radioelect., 5, 46-56 (in Russian).
  12. Rogatkin, D.A., Lapaeva, L.G. and Bychenkov, O.A. (2015a), "Autonomous mobile medical service robot: scenarios of behavior and a world model", Proceedings of the 4th International Conference on Biomedical Engineering and Biotechnology (ICBEB2015), Shanghai, China, August.
  13. Rogatkin, D.A., Kulikov, D.A. and Ivlieva, A.L. (2015b), "Three views on current data of neuroscience for the purposes of intelligent robotics", Model. Artif. Intell., 6(2), 98-136. https://doi.org/10.13187/mai.2015.6.98
  14. Roth, M., Vail, D. and Veloso, M. (2003), "A real-time world model for multi-robot teams with high-latency communication", Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, U.S.A., October.
  15. Russel, S. and Norvig, P. (2003), Artificial Intelligence: A Modern Approach, Prentice Hall, Upper Saddle River, New Jersey, U.S.A.
  16. Wang, Y., Butner, S. and Darzi, A. (2006), "The developing market for medical robotics", Proc. IEEE, 94(9), 1763-1771. https://doi.org/10.1109/JPROC.2006.880711