Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Coordinating swarms of microscopic agents to assemble complex structures

Coordinating swarms of microscopic agents to assemble complex structures

For access to this article, please select a purchase option:

Buy chapter PDF
£10.00
(plus tax if applicable)
Buy Knowledge Pack
10 chapters for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Swarm Intelligence - Volume 1: Principles, current algorithms and methods — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This chapter addresses the problem of coordinating very large swarms of microscopic agents to assemble complex, hierarchically structured physical systems. The agents might be microscopic robots or genetically engineered microorganisms. The approach we use is a form of artificial morphogenesis, which studies the self-organized morphogenetic processes in the developing embryo, by which billions of cells cooperate to create physical form and abstracts these processes to control microscopic agents to assemble desired physical structures. We use an approach based on the description of morphogenetic processes by partial differential equations, which ensures that our morphogenetic algorithms will scale up to arbitrarily large swarms (millions or more). We present several simulation experiments demonstrating the coordination of massive swarms to construct complex objects.

Chapter Contents:

  • Abstract
  • 20.1 The challenge
  • 20.1.1 Assembling complex hierarchical structures
  • 20.1.2 Artificial morphogenesis approach
  • 20.1.3 Distinctive properties of microscopic agents
  • 20.1.4 Scalability
  • 20.2 Massive swarms
  • 20.2.1 Continuum mechanics approach
  • 20.2.2 Mathematical framework
  • 20.2.2.1 Intensive quantities
  • 20.2.2.2 Balance equations
  • 20.2.2.3 Lagrangian reference frame
  • 20.2.3 Global-to-local compilation
  • 20.3 Morphogenetic programming notation
  • 20.3.1 Change equations
  • 20.3.2 Substance definitions
  • 20.3.3 Physical vs. controllable substances
  • 20.3.4 Bodies
  • 20.4 Examples
  • 20.4.1 Fiber bundle routing
  • 20.4.1.1 The U-machine
  • 20.4.1.2 Modified flocking algorithm
  • 20.4.1.3 Continuous version
  • 20.4.2 Clock and wavefront process
  • 20.4.2.1 Biological model
  • 20.4.2.2 Spine assembly
  • 20.4.2.3 Leg assembly
  • 20.5 Conclusions
  • Acknowledgment
  • References

Inspec keywords: partial differential equations; biology computing; self-adjusting systems; genetic engineering; microorganisms; cellular biophysics; large-scale systems; multi-robot systems

Other keywords: physical systems; partial differential equations; microscopic agents; developing embryo; desired physical structures; self-organized morphogenetic processes; genetically engineered microorganisms; massive swarms; complex objects; microscopic robots; complex structures; artificial morphogenesis; physical form; coordinating swarms

Subjects: Cellular biophysics; General, theoretical, and mathematical biophysics; Function theory, analysis

Preview this chapter:
Zoom in
Zoomout

Coordinating swarms of microscopic agents to assemble complex structures, Page 1 of 2

| /docserver/preview/fulltext/books/ce/pbce119f/PBCE119F_ch20-1.gif /docserver/preview/fulltext/books/ce/pbce119f/PBCE119F_ch20-2.gif

Related content

content/books/10.1049/pbce119f_ch20
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address