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In-Place Distributed Heterogeneous Reconfiguration Planning

  • Robert Fitch
  • Zack Butler
  • Daniela Rus

Abstract

This paper describes a distributed planner that allows a self-reconfiguring robot consisting of heterogeneous modules to change configuration without using extra space. This work builds on previous work on reconfiguration planning for homogeneous robots and our recent work on heterogeneous reconfiguration planning that requires temporary working space to execute. Motivated by a specific algorithm for the distributed Crystal robot, we describe and analyze an O(n 2)-time reconfiguration algorithm for systems of modules with assigned types that uses a constrained amount of free space.

Keywords

Dartmouth College Extra Space Modular Robot Straight Line Path Goal Configuration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer 2007

Authors and Affiliations

  • Robert Fitch
    • 1
  • Zack Butler
    • 1
  • Daniela Rus
    • 1
    • 2
  1. 1.Department of Computer ScienceDartmouth CollegeHanoverUSA
  2. 2.Computer Science and Artificial Intelligence LaboratorMITCambridgeUSA

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