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Parallel Self-Assembly of Polyominoes under Uniform Control Inputs

  • Sheryl Manzoor
  • , Samuel Sheckman
  • , Jarrett Lonsford
  • , Hoyeon Kim
  • , Min Jun Kim
  • , Aaron T. Becker

Research output: Contribution to journalArticlepeer-review

Abstract

We present fundamental progress on parallel self-assembly using large swarms of microscale particles in complex environments, controlled not by individual navigation, but by a uniform, global, external force with the same effect on each particle. Consider a 2-D grid world, in which all obstacles and particles are unit squares, and for each actuation, particles move maximally until they collide with an obstacle or another particle. We present algorithms that, given an arbitrary 2-D structure, design an obstacle layout. When actuated, this layout generates copies of the input 2-D structure. We analyze the movement and spatial complexity of the factory layouts. We present hardware results on both a macroscale, gravity-based system, and a microscale, magnetically actuated system.

Original languageEnglish (US)
Article number7949046
Pages (from-to)2040-2047
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume2
Issue number4
DOIs
StatePublished - Oct 2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

Keywords

  • additive manufacturing
  • Automation at micro-nano scales
  • underactuated robots

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