• DocumentCode
    265347
  • Title

    Modular snake robot oriented open simulation software

  • Author

    Monsalve, Jose ; Leon, Javier ; Melo, Kamilo

  • Author_Institution
    KM-RoBoTa s.a.s., Bogota, Colombia
  • fYear
    2014
  • fDate
    4-7 June 2014
  • Firstpage
    546
  • Lastpage
    550
  • Abstract
    To complement the theoretical research that exploits the locomotion capabilities of Modular Snake Robots, a large collection of tools are required to validate the models and controllers designed for that purpose. In our research, most of these validation processes require the real robot prototypes to perform experiments that are time consuming and in a variety of cases compromise the robot´s mechanical structure. To overcome this last issue a simulation software arises as a tool that allows researches to face controller design processes and experimentation in a safe manner. The robot Lola-OP™, designed by our company and released as an open research platform, serves as the main virtual character for the first version of our modular snake robot simulation software. Main components of this set of simulation software tools correspond to the physics engine, the graphics engine, the environment definition and the communication module that allow the inputs to the simulator, data to be retrieved and the integration with a major control software architecture used with the real robot.
  • Keywords
    control system analysis computing; digital simulation; mobile robots; Lola-OPTM robot; communication module; control software architecture; environment definition; graphics engine; modular snake robot simulation software; open simulation software; physics engine; simulation software tools; Engines; Graphics; Load modeling; Physics; Robots; Solid modeling; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2014 IEEE 4th Annual International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-3668-7
  • Type

    conf

  • DOI
    10.1109/CYBER.2014.6917522
  • Filename
    6917522