• DocumentCode
    1054146
  • Title

    Hormone-inspired adaptive communication and distributed control for CONRO self-reconfigurable robots

  • Author

    Shen, Wei-Min ; Salemi, Behnam ; Will, Peter

  • Author_Institution
    Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, CA, USA
  • Volume
    18
  • Issue
    5
  • fYear
    2002
  • fDate
    10/1/2002 12:00:00 AM
  • Firstpage
    700
  • Lastpage
    712
  • Abstract
    Presents a biologically inspired approach to two basic problems in modular self-reconfigurable robots: adaptive communication in self-reconfigurable and dynamic networks, and distributed collaboration between the physically coupled modules to accomplish global effects such as locomotion and reconfiguration. Inspired by the biological concept of hormone, the paper develops the adaptive communication (AC) protocol that enables modules continuously to discover changes in their local topology, and the adaptive distributed control (ADC) protocol that allows modules to use hormone-like messages in collaborating their actions to accomplish locomotion and self-reconfiguration. These protocols are implemented and evaluated, and experiments in the CONRO self-reconfigurable robot and in a Newtonian simulation environment have shown that the protocols are robust and scaleable when configurations change dynamically and unexpectedly, and they can support online reconfiguration, module-level behavior shifting, and locomotion. The paper also discusses the implication of the hormone-inspired approach for distributed multiple robots and self-reconfigurable systems in general.
  • Keywords
    distributed control; mobile robots; multi-robot systems; self-adjusting systems; CONRO self-reconfigurable robots; Newtonian simulation environment; distributed collaboration; distributed control; dynamic networks; hormone-inspired adaptive communication; hormone-like messages; locomotion; physically coupled modules; reconfiguration; Adaptive control; Communication system control; Distributed control; International collaboration; Network topology; Programmable control; Protocols; Robot kinematics; Robot sensing systems; Robotics and automation;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/TRA.2002.804502
  • Filename
    1067992