Robot control: From silicon circuitry to cells

Soichiro Tsuda*, Klaus Peter Zauner, Yukio Pegio Gunji

*Corresponding author for this work

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

29 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationBiologically Inspired Approaches to Advanced Information Technology - Second International Workshop, BioADIT 2006
Number of pages13
Publication statusPublished - 2006
Externally publishedYes
Event2nd International Workshop on Biologically Inspired Approaches to Advanced Information Technology, BioADIT 2006 - Osaka, Japan
Duration: 2006 Jan 262006 Jan 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3853 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd International Workshop on Biologically Inspired Approaches to Advanced Information Technology, BioADIT 2006

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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