A Configurable Telerobotics System for Human Factors Education and Research

L. Rothrock, S.P Kantamneni, C. Harvey, and S. Narayanan


  1. [1] National Center for Education Statistics, Distance education inhigher education institutions, U.S. Department of Education,Washington, DC, Statistical Analysis Report NCES 98-062,October 1997.
  2. [2] J.M. Tien, Individual-centered education: An any one, anytime, any where approach to engineering education, IEEETrans. on Systems, Man, and Cybernetics, Part C., 30 (2),2000, 213–218. doi:10.1109/5326.868443
  3. [3] T.B. Sheridan, Telerobotics, automation, and human supervisory control (Cambridge, MA: MIT Press, 1992).
  4. [4] M. Cyr, V. Miragila, T. Nocera, & C. Rogers, A low-cost,innovative methodology for teaching engineering through experimentation, Journal of Engineering Education, 86 (2), 1997,167–171.
  5. [5] J. Schumacher, D. Welch, & D. Raymond, Teaching introductory programming, problem solving and information technology with robots at West Point, Proc. 31st Annual Frontiers in Education Conf., Reno, NV, 2001, 2–7. doi:10.1109/FIE.2001.963665
  6. [6] A.N. Kumar, Using robots in an undergraduate artificial intelligence course: An experience report, Proc. 31st Annual Frontiers in Education Conf., Reno, NV, 2001, 10–14. doi:10.1109/FIE.2001.963650
  7. [7] M.C. Jadud, TeamStorms as a theory of instruction, Proc.2000 IEEE Int. Conf. on Systems, Man, and Cybernetics,Nashville, TN, 2000, 712–717. doi:10.1109/ICSMC.2000.885079
  8. [8] K.W. Lau, K.T. Heng, B.T. Erwin, & P. Petrovic, Creativelearning in school with LEGO(R) programmable robotics products, Proc. 29th Annual Frontiers in Education Conf., San Juan, Puerto Rico, 1999, 26–31. doi:10.1109/FIE.1999.841676
  9. [9] D. Baum, Dave Baum’s definitive guide to LEGO Mindstorms(New York: Springer-Verlag, 2000).
  10. [10] The LEGO Group, LEGO MINDSTORMS Software DeveloperKit, 1998, http://mindstorms.lego.com/sdk1/.
  11. [11] D. Norman, How might humans interact with robots? Human robot interaction and the laws of robotology, The Nielsen Norman Group, San Luis Obispo, CA, Keynote Address to DARPA/NSF Conference on Human-Robot Interaction, September 2001.
  12. [12] G.A. Carpenter, S. Grossberg, & J. Reynolds, ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network, Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, Technical Report CAS/CNS-TR-91-001, 1991.
  13. [13] D.E. Rumelhart, G.E. Hinton, & J.L. McClelland, A generalframework for parallel distributed processing, in D.E. Rumelhart & J.L. McClelland (eds.), Parallel distributed processing: Explorations in the microstructure of cognition, Vol. 1:Foundations (Cambridge, MA: MIT Press, 1988).
  14. [14] D.E. Goldberg, Genetic algorithms in search, optimization,and machine learning (New York: Addison-Wesley, 1989).
  15. [15] L. Rothrock & A. Kirlik, Inferring rule-based strategies indynamic judgment tasks: Toward a noncompensatory formulation of the lens model, IEEE Trans. on Systems, Man, and Cybernetics, Part A, 33 (1), 2003, 58–72. doi:10.1109/TSMCA.2003.812601
  16. [16] J.L. Casper & R.R. Murphy, Workflow study on human-robotinteraction in USAR, Proc. 2002 IEEE Int. Conf. on Roboticsand Automation, Washington, DC, 2002, 1997–2003. doi:10.1109/ROBOT.2002.1014834
  17. [17] C.M. Harvey & R.J. Koubek, Cognitive, social, and environmental attributes of distributed engineering collaboration: A review and proposed model of collaboration, International Journal of Human Factors in Manufacturing, 10 (4), 2000, 369–393. doi:10.1002/1520-6564(200023)10:4<369::AID-HFM2>3.0.CO;2-Y
  18. [18] H.H. Clark & D. Wilkes-Gibbs, Referring as a collaborativeprocess, Cognition, 22 (1), 1986, 1–39. doi:10.1016/0010-0277(86)90010-7
  19. [19] Boyer Commission, Reinventing undergraduate education: A blueprint for America's research university, Report of the Carnegie Foundation for the Advancement of Teaching, 1997.

Important Links:

Go Back