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Morphological reconfiguration monitoring for homogeneous self-reconfigurable robots
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Morphological reconfiguration monitoring for homogeneous self-reconfigurable robots

Macktoobian, M.

  1. DOI:10.1109/ICEEE.2017.8108831
  2. Main Entry: Macktoobian, M.
  3. Title:Morphological reconfiguration monitoring for homogeneous self-reconfigurable robots.
  4. Abstract:Morphological computation (MC) has revolutionized robotic systems employing morphological properties (MP). Thus far, morphology has been mostly used to analyze morphological functionalities qualitatively after design phase of robotic systems. Furthermore, morphology has verified qualitative requirements, not modeled quantitative specifications. To fill this gap, we present a distributed algorithm to monitor module reconfiguration for homogeneous self-reconfigurable robots (HSRs) considering the size of modules. In this method, neighboring modules of a particular module occupy a spatial region called adjacency configuration (AC), whose size depends on the module size; then, we monitor occupancies by sweeping AC locally, so any detected collision represents a neighboring module. The algorithm is illustrated by 2-D and 3-D examples. © 2017 IEEE
  5. Notes:Sharif Repository
  6. Subject:Automation.
  7. Subject:Process control.
  8. Subject:Programmable robots.
  9. Subject:Robotics.
  10. Subject:Design phase.
  11. Subject:Module size.
  12. Subject:Morphological computation.
  13. Subject:Morphological properties.
  14. Subject:Robotic systems.
  15. Subject:Self reconfigurable robots.
  16. Subject:Spatial regions.
  17. Subject:Modular robots.
  18. Added Entry:Tehrani, A. K. N.
  19. Added Entry:Khodayar, M.
  20. Added Entry:Sharif University of Technology.
  21. Added Entry:14th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2017; Mexico City; Mexico; 20 September 2017 through 22 September 2017
  22. Added Entry:CCE 2017
  23. Source: 2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2017, 20 September 2017 through 22 September 2017 ; 2017 ; 9781538634059 (ISBN)
  24. Web Site:https://ieeexplore.ieee.org/abstract/document/8108831

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