• DocumentCode
    3507443
  • Title

    Automatic onboard and online modelling of modular and self-reconfigurable robots

  • Author

    Meister, E. ; Nosov, Eugen ; Levi, P.

  • Author_Institution
    Inst. of Parallel & Distrib. Syst., Univ. of Stuttgart, Stuttgart, Germany
  • fYear
    2013
  • fDate
    12-15 Nov. 2013
  • Firstpage
    91
  • Lastpage
    96
  • Abstract
    In this paper, we introduce a framework for automatic generation of dynamic equations for modular and reconfigurable robotic systems. The framework is developed in C++ and is capable to deal with both symbolic and numerical type of variables. For this reason, the model for kinematics and dynamics can either be formulated symbolically with high precisions or numerically if the computing time is for major interest. These capabilities makes it powerful for many different scientific and practical applications. The framework was first developed and evaluated in MATLAB and has been finally ported to modular robots running on an embedded processor. Different multi robot configurations have been evaluated and compared with simulation results.
  • Keywords
    C++ language; control engineering computing; digital signal processing chips; embedded systems; mathematics computing; multi-robot systems; robot dynamics; robot kinematics; Blackfin BF561 DSP processor; C++; MATLAB; automatic onboard; dynamic equation automatic generation; embedded processor; modular robotic systems; multirobot configurations; numerical variable type; online modelling; robot dynamics; robot kinematics; self-reconfigurable robotic systems; symbolic variable type; Assembly; Computational modeling; Equations; Kinematics; Mathematical model; Numerical models; Robots; C++ framework; automatic model generator; multi-body kinematics and dynamics; self-adaptive systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Automation and Mechatronics (RAM), 2013 6th IEEE Conference on
  • Conference_Location
    Manila
  • ISSN
    2158-2181
  • Print_ISBN
    978-1-4799-1198-1
  • Type

    conf

  • DOI
    10.1109/RAM.2013.6758565
  • Filename
    6758565