Next Article in Journal
Mimicking Dolphins to Produce Ring Bubbles in Water
Previous Article in Journal
Vibrations and Spatial Patterns Change Effective Wetting Properties of Superhydrophobic and Regular Membranes
Article Menu

Export Article

Open AccessArticle
Biomimetics 2016, 1(1), 5; doi:10.3390/biomimetics1010005

Emergent Behaviors in a Bio-Inspired Platform Controlled by a Physical Cellular Automata Cluster

1
Bristol Robotics Laboratory, Bristol BS16 1QY, UK
2
Unconventional Computing Centre, University of the West of England, Bristol BS16 1QY, UK
*
Authors to whom correspondence should be addressed.
Academic Editor: Barbara Mazzolai
Received: 29 June 2016 / Revised: 17 August 2016 / Accepted: 19 August 2016 / Published: 31 August 2016
View Full-Text   |   Download PDF [4250 KB, uploaded 31 August 2016]   |  

Abstract

This work illustrates behavior patterns and trajectories of a bio-inspired artificial platform induced by a cellular automata (CA)-based control strategy. The platform embeds both CA control as physical electronic architecture and a distributed hardware layer as effectors. In this work, we test both the functionality of the novel hardware’s components as well as the device’s capabilities in locomotion tasks. We also observe the trajectories and patterns emerging from different initial states of the CA excitation and hardware configurations. Two main result sets emerge from this study: the first set illustrates different trajectories according to different initial excitation of the physical CA controller layer. The second set suggests the potential of the developed platform for generating complex patterns of control, as well as indicating emergent characteristics similar to those common to morphological computation approaches in generating localized perturbations without affecting or notifying the central controller. View Full-Text
Keywords: cellular automata; emergent behavior; bio-inspired robotics; morphological computation cellular automata; emergent behavior; bio-inspired robotics; morphological computation
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Assaf, T.; Mayne, R.; Adamatzky, A.; Melhuish, C. Emergent Behaviors in a Bio-Inspired Platform Controlled by a Physical Cellular Automata Cluster. Biomimetics 2016, 1, 5.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Biomimetics EISSN 2313-7673 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top