• DocumentCode
    272662
  • Title

    The Kautham project: A teaching and research tool for robot motion planning

  • Author

    Rosell, J. ; Pérez, Alexander ; Aliakbar, Akbari ; Muhayyuddin ; Palomo, Leopold ; Garcia, Narciso

  • Author_Institution
    Inst. of Ind. & Control Eng., Univ. Politec. de Catalunya, Barcelona, Spain
  • fYear
    2014
  • fDate
    16-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents the software tool used at the Institute of Industrial and Control Engineering (IOC-UPC) for teaching and research in robot motion planning. The tool allows to cope with problems with one or more robots, being a generic robot defined as a kinematic tree with a mobile base, i.e. the tool can plan and simulate from simple two degrees of freedom free-flying robots to multi-robot scenarios with mobile manipulators equipped with anthropomorphic hands. The main core of planners is provided by the Open Motion Planning Library (OMPL). Different basic planners can be flexibly used and parameterized, allowing students to gain insight into the different planning algorithms. Among the advanced features the tool allows to easily define the coupling between degrees of freedom, the dynamic simulation and the integration with task planers. It is principally being used in the research of motion planning strategies for hand-arm robotic systems.
  • Keywords
    control engineering computing; control engineering education; courseware; manipulators; path planning; teaching; IOC-UPC; Institute of Industrial and Control Engineering; Kautham project; OMPL; dynamic simulation; generic robot; hand-arm robotic systems; kinematic tree; motion planning strategies; open motion planning library; planning algorithms; research tool; robot motion planning; software tool; teaching tool; Aerospace electronics; Collision avoidance; Kinematics; Mobile communication; Planning; Robots; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technology and Factory Automation (ETFA), 2014 IEEE
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/ETFA.2014.7005143
  • Filename
    7005143