• DocumentCode
    3050915
  • Title

    iTASC: a tool for multi-sensor integration in robot manipulation

  • Author

    Smits, Ruben ; De Laet, Tinne ; Claes, Kasper ; Bruyninckx, Herman ; De Schutter, Joris

  • Author_Institution
    Dept. of Mech. Eng., Katholieke Univ. Leuven, Leuven
  • fYear
    2008
  • fDate
    20-22 Aug. 2008
  • Firstpage
    426
  • Lastpage
    433
  • Abstract
    iTASC (acronym for dasiainstantaneous task specification and controlpsila) by J. De Schutter (2007) is a systematic constraint-based approach to specify complex tasks of general sensor-based robot systems. iTASC integrates both instantaneous task specification and estimation of geometric uncertainty in a unified framework. Automatic derivation of controller and estimator equations follows from a geometric task model that is obtained using a systematic task modeling procedure. The approach applies to a large variety of robot systems (mobile robots, multiple robot systems, dynamic human-robot interaction, etc.), various sensor systems, and different robot tasks. Using an example task, this paper shows that iTASC is a powerful tool for multi-sensor integration in robot manipulation. The example task includes multiple sensors: encoders, a force sensor, cameras, a laser distance sensor and a laser scanner. The paper details the systematic modeling procedure for the example task and elaborates on the task specific choice of two types of task coordinates: feature coordinates, defined with respect to object and feature frames, which facilitate the task specification, and uncertainty coordinates to model geometric uncertainty. Experimental results for the example task are presented.
  • Keywords
    manipulators; multi-robot systems; robot programming; sensor fusion; cameras; constraint-based approach; encoder; force sensor; geometric uncertainty estimation; iTASC; instantaneous task specification and control; laser distance sensor; laser scanner; multisensor integration; robot manipulation; sensor-based robot system; Automatic control; Human robot interaction; Laser modes; Mobile robots; Power system modeling; Robot kinematics; Robot sensing systems; Robotics and automation; Solid modeling; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems, 2008. MFI 2008. IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-2143-5
  • Electronic_ISBN
    978-1-4244-2144-2
  • Type

    conf

  • DOI
    10.1109/MFI.2008.4648032
  • Filename
    4648032