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Generating Tutoring Feedback in an Intelligent Training System on a Robotic Simulator

  • Roger Nkambou
  • Khaled Belghith
  • Froduald Kabanza
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)

Abstract

Manipulating the Space Station Remote Manipulator (SSRMS), known as “Canadarm II”, on the International Space Station (ISS) is a very challenging task. The astronaut does not have a direct view of the scene of operation and must rely on cameras mounted on the manipulator and at strategic places of the environment where it operates. In this paper, we present Roman Tutor, an intelligent robotic simulator we are developing to address this kind of problem. We also show how a new approach for robot path planning called FADPRM could be used to provide amazingly useful tutoring feedback for training on such a manipulator and under this big constraint of restricted sight.

Keywords

International Space Station Intelligent Tutoring System Path Planner Cognitive Tutor Robot Path Planning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Forbus, K.: Articulate software for science and engineering education. In: Forbus, K., Feltovich, P., Canas, A. (eds.) Smart machines in education: The coming revolution in educational technology. AAAI Press, Menlo Park (2001)Google Scholar
  2. 2.
    Angros, R., Johnson, W.L., Rickel, J., Scholer, A.: Learning domain knowledge for teaching procedural skills. In: AAMAS, pp. 1372–1378 (2002)Google Scholar
  3. 3.
    VanLehn, K.: The advantages of Explicity Representing Problem Spaces. In: Brusilovsky, P., Corbett, A.T., de Rosis, F. (eds.) UM 2003. LNCS, vol. 2702, p. 3. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  4. 4.
    Crowley, R.S., Medvedeva, O., Jukic, D.: SlideTutor - A model-tracing Intelligent Tutoring System for teaching microscopic diagnosis. In: Proceedings of the 11th International Conference on Artificial Intelligence in Education (2003)Google Scholar
  5. 5.
    Latombe, J.C.: Robot motion planning. Kluwer Academic, Boston (1991)CrossRefGoogle Scholar
  6. 6.
    Overmars, M.H.: Recent developments in motion planning. In: Sloot, P.M.A., Tan, C.J.K., Dongarra, J., Hoekstra, A.G. (eds.) ICCS-ComputSci 2002. LNCS, vol. 2331, pp. 3–13. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  7. 7.
    LaValle, S.M., Branicky, M.S., Lindemann, S.R.: On the relationship between classical grid search and probabilistic roadmaps. International Journal of Robotics Research 23, 673–692 (2004)CrossRefGoogle Scholar
  8. 8.
    Roy, J., Nkambou, R., Kabanza, F.: Supporting spatial awareness in training on a telemanipulator in space. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 860–863. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  9. 9.
    Belghith, K., Kabanza, F., Hartman, L., Nkambou, R.: Anytime Dynamic Path-Planning with Flexible Probabilistic Roadmaps. In: Proc. of IEEE International Conference on Robotics and Automation, ICRA (2006)Google Scholar
  10. 10.
    Sanchez, G., Latombe, J.C.: A single-query bi-directional probabilistic roadmap planner with lazy collision checking. In: Jarvis, R.A., Zelinsky, A. (eds.) Int. Symposium on Robotics Research (ISRR 2001), Lorne, Victoria, Australia. Springer Tracts in Advanced Robotics, pp. 403–417. Springer, Heidelberg (2003)Google Scholar
  11. 11.
    Likhachev, M., Ferguson, D., Stentz, A., Thrun, S.: Anytime Dynamic A*: An Anytime Replanning Algorithme. In: Proc. of International Conference on Automated Planning and Scheduling (June 2005)Google Scholar
  12. 12.
    Larsen, E., Gottschalk, S., Lin, M., Manocha, D.: Fast Distance Queries using Rectangular Swept Sphere Volumes. In: Proc. of IEEE International Conference on Robotics and Automation, vol. 4, pp. 24–28 (2000)Google Scholar
  13. 13.
    Forbus, K.: Using qualitative physics to create articulate educational software. IEEE Expert, 32–41 (May/June 1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Roger Nkambou
    • 1
  • Khaled Belghith
    • 2
  • Froduald Kabanza
    • 2
  1. 1.Université du Québec à MontréalMontréal, QuébecCanada
  2. 2.Université de SherbrookeSherbrooke, QuébecCanada

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