Map Learning and High-Speed Navigation in RHINO

Sebastian Thrun, Arno Buecken, Wolfram Burgard, Dieter Fox, Thorsten Froehlinghaus, Daniel Hennig, Thomas Hofmann, Michael Krell, and Timo Schmidt

This chapter surveys basic methods for learning maps and high speed autonomous navigation for indoor mobile robots. The methods have been developed in our lab over the past few years, and most of them have been tested thoroughly in various indoor environments. The chapter is targeted towards researchers and engineers who attempt to build reliable mobile robot navigation software.

Click here to obtain the full paper (817,334 bytes, 24 pages).

@INCOLLECTION{Thrun96h,
  AUTHOR         = {S. Thrun and A. B\"{u}cken and W. Burgard and D. Fox 
                    and T. Fr{\"o}hlinghaus and D. Henning and T. Hofmann
                     and M. Krell and T. Schmidt},
  YEAR           = {1998},
  TITLE          = {Map Learning and High-Speed Navigation in \mbox{RHINO}},
  BOOKTITLE      = {AI-based Mobile Robots: Case Studies of Successful
                     Robot Systems},
  EDITOR         = {Kortenkamp, D. and Bonasso, R.P. and Murphy, R},
  PUBLISHER      = {MIT Press}
}