Architecture Design of the Robots Operability Assessment Simulation Testbed
This paper presents the architecture design of the robot operability assessment simulation testbed (called "ROAST") for the resolution of robot operability problems occurred during interactions between human operators and robots. The basic idea of the ROAST architecture design is to enable the easy composition of legacy or new simulation models according to its purpose. ROAST architecture is based on IEEE1516 High Level Architecture (HLA) of defense modeling and simulation. The ROAST architecture is expected to provide the foundation framework for the easy construction of a simulation testbed to order to assess the robot operability during the robotic system design. Some of ROAST implementations and its usefulness are demonstrated through a simple illustrative example.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126127Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 972
 Michael Lewis, et.al., USARSim: Simulation for the Study of Human-Robot Interaction, Journal of Cognitive Engineering and Decision Making, Volume 1, Number 1, Spring 2007, pp. 98–120.
 MIT, RESCHU (Research Environment for Supervisory Control of Heterogeneous Unmanned vehicles).
 Naval Postgraduate School, RESCHU-SA (Research Environment for Supervisory Control of Heterogeneous Unmanned vehicles –Swarm Attack).
 Naval Postgraduate School MOVES, SAWSI (Semi-Autonomous Wingman Supervisory Interface).
 Connecticut University, MAVIES (Multi-Autonomous Vehicle Insertion Extraction System).
 Science Application International, CART (Combat Automation Requirements Testbed).
 IEEE 1516–2010 – Standard for Modeling and Simulation High Level Architecture – Framework and Rules.
 Hollnagel, E. & Woods, D.D. (2005) Joint Cognitive Systems. Foundations of Cognitive Systems Engineering. Boca Raton, FL: CRC Press, Taylor & Francis Group.
 Wickens et al. 2013. Engineering Psychology and Human Performance. New York: Pearson Education, Inc., pp.3~6.
 D. R. Olsen and S. B. Wood, “"Fan-out: Measuring human control of multiple robots,”" in Proceedings of the SIGCHI conference on Human factors in computing systems. Vienna, Austria: ACM, 2004, pp. 231–238.
 Whetten, J., Goodrich, M., Guo, Y.: Beyond Robot Fan-Out: Towards Multi-Operator Supervisory Control, In: IEEE International Conference on Systems Man and Cybernetics(SMC) pp.2008-2015(2010)
 Kurt Jensen (Ed.), Tenth Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools Aarhus, Denmark, October 19-21, 2009.
 Tom Kontogiannis, Integration of task networks and cognitive user models using coloured Petri nets and its application to job design for safety and productivity, Cogn Tech Work (2005) 7: 241–261.
 G. Gallasch and L. M. Kristensen. COMMS/CPN: A communication infrastructure for external communication with Design/CPN. In K. Jensen, editor, Third Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools, DAIMI PB-554, pp. 75–91.
 Himanshu Neema, et.al., Rapid Synthesis of Multi-Model Simulations for computation Experiments in C2, GMU-AFCEA SYMPOSIUM on Critical Issues in C4I Lansdowne, VA May 19, 2009.
 HLA Toolbox ™ The MATLAB® interface to HLA, http://www.forwardsim.com.
 Kurt Jensen, Coloured Petri Nets, Springer, 2009.
 MÄK RTI: HLA Run Time Infrastructure, http://www.mak.com.
 McCrasken, J. H. and Aldrich, T. B. 1984. “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.
 D. R. Olsen and M. A. Goodrich, "Metrics for Evaluating Human-Robot Interactions," presented at Performance Metrics for Intelligent Systems, Gaithersburg, MD, 2003.