Manipulating objects with gliders in cellular automata

Ioannis Georgilas, Andrew Adamatzky, Chris Melhuish

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Micro-scale manipulation of objects is a growing requirement in specialised industries, especially those related to assembly of fragile micro-components. Widely implemented techniques in robotics and automation do not always cope with the delicate nature of the process. To improve the micro-scale manipulators we consider both hardware and software issues, and focus on designing massive-parallel embedded controllers for non-trivial actuating surfaces. This paper offers an initial insight on cellular automata (CA) gliders control of a smart surface. A brief presentation of the prototype hardware will be given along with a justification on the selection of manipulated objects. The formulation of the excitable CA lattice is presented and experimental data is analysed. The results support the capabilities of a fully distributed CA controlled massive parallel manipulation architecture.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012
Pages936-941
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012 - Seoul, Korea, Republic of
Duration: 20 Aug 201224 Aug 2012

Conference

Conference2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012
CountryKorea, Republic of
CitySeoul
Period20/08/1224/08/12

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Georgilas, I., Adamatzky, A., & Melhuish, C. (2012). Manipulating objects with gliders in cellular automata. In 2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012 (pp. 936-941). [6386381] https://doi.org/10.1109/CoASE.2012.6386381