• DocumentCode
    134459
  • Title

    Obstacle avoidance for industrial AGVs

  • Author

    Digani, Valerio ; Caramaschi, Fabrizio ; Sabattini, Lorenzo ; Secchi, Cristian ; Fantuzzi, Cesare

  • Author_Institution
    Dept. of Sci. & Methods for Eng. (DISMI), Univ. of Modena & Reggio Emilia, Reggio Emilia, Italy
  • fYear
    2014
  • fDate
    4-6 Sept. 2014
  • Firstpage
    227
  • Lastpage
    232
  • Abstract
    The paper deals with the obstacle avoidance problem for Automated Guided Vehicles (AGVs). We propose an automatic algorithm to build new obstacle-free trajectories that leave the original roadmap. The new path has to also comply with the dynamic and kinematic constraints of the AGV. The new paths are generated by means of polar spline curves, lane-change maneuver curves and line segments. The proposed method is validated by means of simulations.
  • Keywords
    automatic guided vehicles; collision avoidance; industrial robots; mobile robots; robot dynamics; robot kinematics; splines (mathematics); trajectory control; AGV dynamic constraints; AGV kinematic constraints; automated guided vehicles; industrial AGV; lane-change maneuver curves; line segments; obstacle avoidance problem; obstacle-free trajectories; path generation; polar spline curves; roadmap; Collision avoidance; Kinematics; Robots; Safety; Sensors; Splines (mathematics); Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computer Communication and Processing (ICCP), 2014 IEEE International Conference on
  • Conference_Location
    Cluj Napoca
  • Print_ISBN
    978-1-4799-6568-7
  • Type

    conf

  • DOI
    10.1109/ICCP.2014.6937001
  • Filename
    6937001