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Experimental Application of Robot Operability Simulator (ROSim) to the Operability Assessment of Military Robots

로봇 운용성 시뮬레이터(ROSim)의 군사로봇 운용성 평가에 실험적 적용 연구

  • Choi, Sangyeong (The Specialized Research Center for Future Ground System Analysis, MyongJi University) ;
  • Park, Woosung (The Specialized Research Center for Future Ground System Analysis, MyongJi University)
  • Received : 2017.12.26
  • Accepted : 2018.05.15
  • Published : 2018.08.31

Abstract

Military robots are expected to play an important role in the future battlefield, and will be actively engaged in dangerous, repetitive and difficult tasks. During the robots perform the tasks a human operator controls the robots in a supervisory way. The operator recognizes battlefield situations from remote robots through an interface of the operator control center, and controls them. In the meantime, operator workload, controller interface, robot automation level, and task complexity affect robot operability. In order to assess the robot operability, we have developed ROSim (Robot Operational Simulator) incorporating these operational factors. In this paper, we introduce the results of applying ROSim experimentally to the assessment of reconnaissance robot operability in a battle field. This experimental assessment shows three resulting measurements: operational control workload, operational control capability, mission success rate, and discuss its applicability to the defense robot research and development. It is expected that ROSim can contribute to the design of an operator control center and the design analysis of a human-robot team in the defense robot research and development.

Keywords

References

  1. W. S. Park, S. Y. Choi, and M. J. Lee, and J. H. Yang "Design of Simulation Framework for M&S of UGV Operability," Winter Conference of Society for Computational Design and Engineering Conference, Seoul, Korea, pp. 742-744, 2017.
  2. C. S. Jordan, "Experimental study of the effects of an instantaneous self-assessment workload recorder on task performance," Defense Research Agency, Portsmouth, USA, Report DRA/TM (CAD5), 1992.
  3. M. L. Cummings and P. J. Mitchell, "Predicting Controller Capacity in Supervisory Control of Multiple UAVs," IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol. 38, no. 2, pp. 451-460, Mar., 2008. https://doi.org/10.1109/TSMCA.2007.914757
  4. L. A. Breslow, D. Gartenberg, J. M. McCurry, and J. G. Trafton, "Dynamic Operator Overload: A Model for Predicting Workload During Supervisory Control," IEEE Transactions on HumanMachine Systems, vol. 44, no. 1, pp. 30-40, Feb., 2014. https://doi.org/10.1109/TSMC.2013.2293317
  5. C. E. Nehme, "Modeling human supervisory control in heterogeneous unmanned vehicle systems," MIT Department of Aeronautics and Astronautics, Cambridge, USA. 2009.
  6. E. L, McMullen, B. S. Grass, J. H. Yang, Q. Kennedy, and J. Sullivan, "Effects of UAV supervisory control on F-18 formation flight performance in a simulator environment," AIAA Modeling and Simulation Technologies (MST) Conference Guidance, Navigation, and Control and Co-located Conferences, (AIAA 2013-4972), Boston, MA, 2013.
  7. J. H. Yang, M. Kapolka, and T. H. Chung, "Autonomy balancing in a manned-unmanned teaming (MUT) swarm attack," Robot Intelligence Technology and Applications 2012, Gwangju, Korea, pp. 561-569, 2012.
  8. S. Galster, M. Barnes, K. Cosenzo, S. Galster, E. Hollnagel, C. Miller, R. Parasuraman, J. Reising, R. Taylor, and L. van Breda, "Human Automation Integration," Uninhabited Military Vehicles (UMVs): Human Factors Issues in Augmenting the Force, RTO-TR-HFM-078, 2007, ch. 7, pp. 1-11.
  9. R. Parasuraman, T. B. Sheridan, and C. D. Wickens, "A model for types and levels of human interaction with automation," IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol. 30, no. 3, pp. 286-297, May, 2000. https://doi.org/10.1109/3468.844354
  10. Y.-H. Kim, Y.-H. Choi, and J.-O, Kim, "How to Derive the Autonomous Driving Function Level of Unmanned Ground Vehicles," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no.01, pp. 205-213, Jan., 2017. https://doi.org/10.7840/kics.2017.42.1.205
  11. S. G. Hart, " NASA Task Load Index (TLX) V1. 0 Users Manual," NASA Ames Research Center, Moffett Field, CA, USA, 20000021488, Jan., 1986.
  12. S. G. Hart and L. E. Staveland, "Development of NASA-TLX," Advances in Psychology, vol. 52, pp. 139-183, 1988.
  13. J. H. McCrasken and T. B. Aldrich, "Analysis of selected LHX mission functions: Implications for operator workload and system automation goals," Technical Note ASI479-024-84. Fort Rucker, AL: Army Research Institute Aviation Research and Development Activity, US Army Research Institute, USA, Jun., 1984.