Algorithms for fast concurrent reconfiguration of hexagonal metamorphic robots

Jennifer E. Walter, Elizabeth M. Tsai, Nancy M. Amato

Research output: Contribution to journalArticlepeer-review

Abstract

The problem addressed is the distributed reconfiguration of a system of hexagonal metamorphic robots (modules) from an initial straight chain to a goal configuration that satisfies a simple admissibility condition. Our reconfiguration strategy depends on finding a contiguous path of cells that spans the goal configuration and over which modules can move concurrently without collision or deadlock, called an admissible substrate path. A subset of modules first occupy the admissible substrate path, which is then traversed by other modules to fill in the remainder of the goal. We present a two-phase reconfiguration strategy, beginning with a centralized preprocessing phase that finds and heuristically ranks all admissible substrate paths in the goal configuration, according to which path is likely to result in fast parallel reconfiguration. We prove the correctness of our path-finding algorithm and demonstrate its effectiveness through simulation. The second phase of reconfiguration is accomplished by a deterministic, distributed algorithm that uses little or no intermodule message passing.

Original languageEnglish (US)
Pages (from-to)621-631
Number of pages11
JournalIEEE Transactions on Robotics
Volume21
Issue number4
DOIs
StatePublished - Aug 2005
Externally publishedYes

Keywords

  • Distributed reconfiguration
  • Metamorphic robots

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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