SLAM, Simultaneous Localization and Mapping

  • Online

This course covers the general area of Simultaneous Localization and  Mapping (SLAM). Initially the problems of localization, mapping, and  SLAM are introduced from a methodological point of view. Different  methods for representation of uncertainty will be introduced including  their ability to handle single and multi-mode uncertainty representations. A number of example applications are discussed.


Henrik I Christensen

Henrik I Christensen Photo

Henrik I Christensen is the KUKA Chair of Robotics and a Distinguished  Professor at the College of Computing, Georgia Institute of Technology.  He earned his M.Sc. and Ph.D degrees from Aalborg University, 1987 and  1990, respectively. He was the founding chairman of the European network  of excellence in robotics EURON. He has served as an IEEE Distinguished  Lecturer and serves on the editorial board of IJRR, RAS, AI Magazine

Publication Year: 2007

ISBN: 1-4244-1434-2

SLAM, Simultaneous Localization and Mapping
  • Course Provider: Educational Activities
  • Course Number: EDP067
  • Duration (Hours): 1
  • Credits: 0.3 CEU/ 3 PDH