• DocumentCode
    2512199
  • Title

    An approach for semi-autonomous recovery of unknown objects in underwater environments

  • Author

    Prats, Mario ; Fernández, José J. ; Sanz, Pedro J.

  • Author_Institution
    Comput. Sci. & Eng. Dept., Univ. of Jaume-I, Castellón, Spain
  • fYear
    2012
  • fDate
    24-26 May 2012
  • Firstpage
    1452
  • Lastpage
    1457
  • Abstract
    Autonomous grasping of unknown objects by a robot is a highly challenging skill that is receiving increasing attention in the last years. This problem becomes still more challenging (and less explored) in underwater environments, with highly unstructured scenarios, limited availability of sensors and, in general, adverse conditions that affect in different degree the robot perception and control systems. This paper describes an approach for semi-autonomous grasping and recovery on underwater unknown objects. A laser stripe emitter is attached to a robot forearm that performs a scan of a target of interest. This scan is captured by a camera and the partial 3D structure of the scene is recovered. A user then indicates the part where to grab the object, and the final grasp is automatically planned on that area. The methods herein presented are tested and validated in real conditions in a water tank.
  • Keywords
    autonomous underwater vehicles; laser beam applications; manipulators; mobile robots; AUV; ROV; autonomous grasping; autonomous underwater manipulation; autonomous underwater vehicles; control systems; laser stripe emitter; remote operated vehicles; robot forearm; robot perception; semiautonomous grasping; semiautonomous unknown object recovery; underwater environments; water tank; Cameras; Grasping; Joints; Kinematics; Lasers; Robots; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optimization of Electrical and Electronic Equipment (OPTIM), 2012 13th International Conference on
  • Conference_Location
    Brasov
  • ISSN
    1842-0133
  • Print_ISBN
    978-1-4673-1650-7
  • Electronic_ISBN
    1842-0133
  • Type

    conf

  • DOI
    10.1109/OPTIM.2012.6231874
  • Filename
    6231874