Coordination of Multiple AGVs in an Industrial Application. Olmi, R., Secchi, C., & Cesare, F. In IEEE International Conference on Robotics and Automation, ICRA 2008, Pasadena, CA, May~19–23, 2008.
abstract   bibtex   
In this paper we propose a methodology for coordinating a group of mobile robots following predefined paths in a dynamic industrial environment. Coordination diagrams are used for representing the possible collisions among the robots. Exploiting the structure of the industrial application we are dealing with, we propose an algorithm for efficiently composing the coordination diagram. Furthermore, we classify the possible collisions that can take place and the induced geometry of the resulting coordination diagram. Finally, we exploit this information for developing a planning algorithm that allows to coordinate the robots and to take into account unexpected events that can occur in an industrial environment.
@InProceedings{Olmi-et-al:ICRA:Pasadena:2008,
  author = 	 {Olmi, Roberto and Secchi, Cristian and Fantuzzi Cesare},
  title = 	 {Coordination of Multiple AGVs in an Industrial Application},
  booktitle = {IEEE International Conference on Robotics and Automation, ICRA 2008},
  year = 	 2008,
  address = 	 {Pasadena, CA},
  month = 	 may # "~19--23",
  isbn = {9781424416462},
  ID = 200805,
  file =         {papers/2008-05-ICRA-Pasadena-AGV.pdf},
  href =         {\hyperbibref{2008-05-ICRA-Pasadena-AGV.pdf}},
  abstract = {In this paper we propose a methodology for coordinating
                  a group of mobile robots following predefined paths
                  in a dynamic industrial environment. Coordination
                  diagrams are used for representing the possible
                  collisions among the robots. Exploiting the
                  structure of the industrial application we are
                  dealing with, we propose an algorithm for
                  efficiently composing the coordination
                  diagram. Furthermore, we classify the possible
                  collisions that can take place and the induced
                  geometry of the resulting coordination
                  diagram. Finally, we exploit this information for
                  developing a planning algorithm that allows to
                  coordinate the robots and to take into account
                  unexpected events that can occur in an industrial
                  environment.}
}

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