Towards an intelligent distributed conveyor

Ioannis Georgilas, Andrew Adamatzky, Chris Melhuish

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

6 Citations (Scopus)

Abstract

Manipulation, orientation and handling of components, subparts and finished products is an essential element of any industrial process, which attracts substantial portion of resources and infrastructure. Classic manipulation, e.g. robot arms, is not always efficient at the micro-scale and suffers in terms of scaleability. We are proposing an alternative concept of manipulation based on an array of actuators. The proposed system rely on the natural concepts of scaleability and parallelism: ciliary motion and excitable media control.

Original languageEnglish
Title of host publicationAdvances in Autonomous Robotics - Joint Proceedings of the 13th Annual TAROS Conference and the 15th Annual FIRA RoboWorld Congress
Pages457-458
Number of pages2
Volume7429 LNAI
DOIs
Publication statusPublished - 2012
EventJoint of the 13th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2012 and the 15th Annual FIRA RoboWorld Congress - Bristol, UK United Kingdom
Duration: 20 Aug 201223 Aug 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7429 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

ConferenceJoint of the 13th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2012 and the 15th Annual FIRA RoboWorld Congress
CountryUK United Kingdom
CityBristol
Period20/08/1223/08/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Georgilas, I., Adamatzky, A., & Melhuish, C. (2012). Towards an intelligent distributed conveyor. In Advances in Autonomous Robotics - Joint Proceedings of the 13th Annual TAROS Conference and the 15th Annual FIRA RoboWorld Congress (Vol. 7429 LNAI, pp. 457-458). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7429 LNAI). https://doi.org/10.1007/978-3-642-32527-4_57