Skip to main content
Have a personal or library account? Click to login
Interval Analysis for Certified Numerical Solution of Problems in Robotics Cover

Interval Analysis for Certified Numerical Solution of Problems in Robotics

Open Access
|Sep 2009

References

  1. Ashokaraj, I., Tsourdos, A., Silson, P. and White, B. A. (2004). Sensor based robot localisation and navigation: Using interval analysis and extended Kalman filter,.
  2. Carreras, C. and Walker, I. (2001). Interval methods for faulttree analysis in robotics,(1): 3-11.
  3. Chablat, D., Wenger, P. and Merlet, J.-P. (2004). A comparative study between two three-dof parallel kinematic machines using kinetostatic criteria and interval analysis,, pp. 1209-1213.
  4. Chablat, D., Wenger, P. and Merlet, J.-P. (2002). Workspace analysis of the Orthoglide using interval analysis,, pp. 397-406.
  5. Clerentin, A., Delahoche, L., Brassart, E. and Izri, S. (2003). Imprecision and uncertainty quantification for the problem of mobile robot localization,.
  6. Daney, D., Andreff, N., Chabert, G. and Papegay, Y. (2006). Interval method for calibration of parallel robots: A visionbased experimentation,(8): 929-944.
  7. Das, I. and Dennis, J. (1997). A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problem,: 63-69.
  8. Didrit, O. (1997)., Ph.D. thesis, Université Paris XI Orsay, Paris.
  9. Dietmaier, P. (1998). The Stewart-Gough platform of general geometry can have 40 real postures,, pp. 7-16.
  10. Drocourt, C., Delahoche, L., Brassart, E., Marhic, B. and Clerentin, A. (2003). Incremental construction of the robot's environmental map using interval analysis,.
  11. Fang, H. and Merlet, J.-P. (2005). Multi-criteria optimal design of parallel manipulators based on interval analysis,(2): 151-171.
  12. Gough, V. and Whitehall, S. (1962). Universal tire test machine,, Vol., pp. 117-135.
  13. Hansen, E. (2004)., Marcel Dekker, New York, NY.
  14. Hubert, J. and Merlet, J.-P. (2008). Singularity analysis through static analysis,, pp. 13-20.
  15. Innocenti, C. (2001). Forward kinematics in polynomial form of the general Stewart platform,(2): 254-260.
  16. Jaulin, L., Kieffer, M., Didrit, O. and Walter, E. (2001)., Springer-Verlag, Heidelberg.
  17. Kearfott, R. and Manuel, N. I. (1990). INTBIS, a portable interval Newton/Bisection package,(2): 152-157.
  18. Kieffer, M., Jaulin, L., Walter, E. and Meizel, D. (2000). Robust autonomous robot localization using interval analysis,(3): 337-362.
  19. Kreinovich, V. (2000). Optimal finite characterization of linear problems with inexact data,, University of Texas at El Paso, TX.
  20. Kreinovich, V., Lakeyev, A., Rohn, J. and Kahl, P. (1998)., Kluwer, Dordrecht.
  21. Lebbah, Y., Michel, C., Rueher, M., Merlet, J.-P. and Daney, D. (2004). Combining local consistencies with a new global filtering algorithm on linear relaxations,,(2076).
  22. Merlet, J.-P. (2004). Solving the forward kinematics of a Goughtype parallel manipulator with interval analysis,(3): 221-236.
  23. Merlet, J.-P. (2000). ALIAS: An interval analysis based library for solving and analyzing system of equations,.
  24. Merlet, J.-P. (1989). Singular configurations of parallel manipulators and Grassmann geometry,(5): 45-56.
  25. Merlet, J.-P. and Donelan, P. (2006). On the regularity of the inverse jacobian of parallel robot,, pp. 41-48.
  26. Moore, R. (1979)., SIAM Studies in Applied Mathematics, SIAM, Philadelphia, PA.
  27. Neumaier, A. (1990)., Cambridge University Press, Cambridge.
  28. Neumaier, A. (2001)., Cambridge University Press, Cambridge.
  29. Piazzi, A. and Visioli, A. (2000). Global minimum-jerk trajectory planning of robot manipulators,(1): 140-149.
  30. Rao, R., Asaithambi, A. and Agrawal, S. (1998). Inverse kinematic solution of robot manipulators using interval analysis,(1): 147-150.
  31. Redon, S. et al. (2004). Fast continuous collision detection for articulated models,, pp. 145-156.
  32. Rex, G. and Rohn, J. (1998). Sufficient conditions for regularity and singularity of interval matrices,(2): 437-445.
  33. Ronga, F. and Vust, T. (1992). Stewart platforms without computer?,, pp. 197-212.
  34. Rouillier, F. (1995). Real roots counting for some robotics problems,B. R. J.-P. Merlet (Ed.),, Kluwer, Dordrecht, pp. 73-82.
  35. Seignez, E., Kieffer, M., Lambert, A., Walter, E. and Maurin, T. (2005). Experimental vehicle localization by boundederror state estimation using interval analysis, IEEE/RJS IROS, Edmonton, Canada.
  36. Tapia, R. (1971). The Kantorovitch theorem for Newton's method,(1.ea): 389-392.
  37. Wampler, C. (1996). Forward displacement analysis of general six-in-parallel SPS (Stewart) platform manipulators using soma coordinates,(3): 331-337.
  38. Wu, W. and Rao, S. (2004). Interval approach for the modeling of tolerances and clearances in mechanism analysis,(4): 581-592.
DOI: https://doi.org/10.2478/v10006-009-0033-3 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 399 - 412
Published on: Sep 24, 2009
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2009 Jean-Pierre Merlet, published by University of Zielona Góra
This work is licensed under the Creative Commons License.