The University of Southampton
University of Southampton Institutional Repository

Robot Control: From Silicon Circuitry to Cells

Robot Control: From Silicon Circuitry to Cells
Robot Control: From Silicon Circuitry to Cells
Life-like adaptive behaviour is so far an illusive goal in robot control. A capability to act successfully in a complex, ambiguous, and harsh environment would vastly increase the application domain of robotic devices. Established methods for robot control run up against a complexity barrier, yet living organisms amply demonstrate that this barrier is not a fundamental limitation. To gain an understanding of how the nimble behaviour of organisms can be duplicated in made-for-purpose devices we are exploring the use of biological cells in robot control. This paper describes an experimental setup that interfaces an amoeboid plasmodium of Physarum polycephalum with an omnidirectional hexapod robot to realise an interaction loop between environment and plasticity in control. Through this bio-electronic hybrid architecture the continuous negotiation process between local intracellular reconfiguration on the micro-physical scale and global behaviour of the cell in a macroscale environment can be studied in a device setting.
molecular computing, cellular computation
3-540-31253-6
20-32
Springer
Tsuda, Soichiro
85070e3b-3f9b-4183-ac62-13e273eee0a8
Zauner, Klaus-Peter
c8b22dbd-10e6-43d8-813b-0766f985cc97
Gunji, Yukio-Pegio
aa50ea3b-f2eb-4bac-866a-6562190f8403
Ijspeert, Auke Jan
Masuzawa, Toshimitsu
Kusumoto, Shinji
Tsuda, Soichiro
85070e3b-3f9b-4183-ac62-13e273eee0a8
Zauner, Klaus-Peter
c8b22dbd-10e6-43d8-813b-0766f985cc97
Gunji, Yukio-Pegio
aa50ea3b-f2eb-4bac-866a-6562190f8403
Ijspeert, Auke Jan
Masuzawa, Toshimitsu
Kusumoto, Shinji

Tsuda, Soichiro, Zauner, Klaus-Peter and Gunji, Yukio-Pegio (2006) Robot Control: From Silicon Circuitry to Cells. Ijspeert, Auke Jan, Masuzawa, Toshimitsu and Kusumoto, Shinji (eds.) In Biologically Inspired Approaches to Advanced Information Technology, Second International Workshop, BioADIT 2006, Osaka, Japan, January 26-27, 2006, Proceedings. Springer. pp. 20-32 . (doi:10.1007/11613022_5).

Record type: Conference or Workshop Item (Paper)

Abstract

Life-like adaptive behaviour is so far an illusive goal in robot control. A capability to act successfully in a complex, ambiguous, and harsh environment would vastly increase the application domain of robotic devices. Established methods for robot control run up against a complexity barrier, yet living organisms amply demonstrate that this barrier is not a fundamental limitation. To gain an understanding of how the nimble behaviour of organisms can be duplicated in made-for-purpose devices we are exploring the use of biological cells in robot control. This paper describes an experimental setup that interfaces an amoeboid plasmodium of Physarum polycephalum with an omnidirectional hexapod robot to realise an interaction loop between environment and plasticity in control. Through this bio-electronic hybrid architecture the continuous negotiation process between local intracellular reconfiguration on the micro-physical scale and global behaviour of the cell in a macroscale environment can be studied in a device setting.

Text
TsudaS06RobotCircToCell.pdf - Other
Download (1MB)

More information

Published date: 2006
Additional Information: LNCS Vol. 3853
Keywords: molecular computing, cellular computation
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 261749
URI: http://eprints.soton.ac.uk/id/eprint/261749
ISBN: 3-540-31253-6
PURE UUID: e236b9c1-d138-4655-a808-e684252dd8c0

Catalogue record

Date deposited: 04 Feb 2006
Last modified: 14 Mar 2024 06:58

Export record

Altmetrics

Contributors

Author: Soichiro Tsuda
Author: Klaus-Peter Zauner
Author: Yukio-Pegio Gunji
Editor: Auke Jan Ijspeert
Editor: Toshimitsu Masuzawa
Editor: Shinji Kusumoto

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×