@Article{Bee01Pla,
  author   = "Michael Beetz",
  title    = "Plan Management for Robotic Agents",
  journal  = {KI - K{\"u}nstliche Intelligenz; Special Issue on Planning and Scheduling},
  volume   = {15},
  number   = {2},
  year     = "2001",
  pages    = {12--17},
  bib2html_pubtype  = {Journal},
  bib2html_rescat   = {Plan-based Robot Control},
  bib2html_groups   = {IAS},
  bib2html_funding  = {ignore},
  bib2html_keywords = {Robot, Planning},
  abstract = {Autonomous robots that perform complex jobs in changing environments must be capable of managing
              their plans as the environmental conditions or their tasks change. This raises the problem of
              deciding whether, when, where, and how to revise the plans as the robots' beliefs change. This
              article investigates an approach to execution time plan management in which the plans themselves
              specify the plan adaptation processes. In this approach the robot makes strategical (farsighted)
              adaptations while it executes a plan using tactical (immediate) decisions and overwrites tactical
              adaptations after strategical decisions have been reached (if necessary). We present experiments in
              which the plan adaptation technique is used for the control of two autonomous mobile robots. In one
              of them it controlled the course of action of a museums tourguide robot that has operated for
              thirteen days and performed about 3200 plan adaptations reliably.}
}