Robust and reversible self-reconfiguration

  • Authors:

  • Ulrik P. Schultz;Mirko Bordignon;Kasper Stoy

  • Affiliations:

  • Modular Robotics Lab, Maersk Mc-Kinney Moller Institute, Faculty of Engineering, University of Southern Denmark, Denmark;Modular Robotics Lab, Maersk Mc-Kinney Moller Institute, Faculty of Engineering, University of Southern Denmark, Denmark;Modular Robotics Lab, Maersk Mc-Kinney Moller Institute, Faculty of Engineering, University of Southern Denmark, Denmark

  • Venue:
  • IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
  • Year:
  • 2009

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Abstract

Modular, self-reconfigurable robots are robots that can change their own shape by physically rearranging the modules from which they are built. Self-reconfiguration can be controlled by e.g. an off-line planner, but numerous implementation issues hamper the actual self-reconfiguration process: the continuous evolution of the communication topology increases the risk of communications failure, generating code that correctly controls the self-reconfiguration process is non-trivial, and hand-tuning the self-reconfiguration process is tedious and error-prone. To address these issues, we have developed a distributed scripting language that controls self-reconfiguration of the ATRON robot using a robust communication scheme that relies on local broadcast of shared state. This language can be used as the target of a planner, offers direct support for parallelization of independent operations while maintaining correct sequentiality of dependent operations, and compiles to a robust and efficient implementation. Moreover, a novel feature of this language is its reversibility: once a self-reconfiguration sequence is described the reverse sequence is automatically available to the programmer, significantly reducing the amount of work needed to deploy self-reconfiguration in larger scenarios. We demonstrate our approach with long-running (reversible) self-reconfiguration experiments using the ATRON robot and a reversible self-reconfiguration experiment using simulated MTRAN modules.