liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An Oxygen-Diffusion Cathode MFC Model for Simulation of Energy-Autonomous Robots
Cognition and Interaction Lab, University of Skövde, Skövde, Sweden.
Bristol Robotics Lab, University of Bristol and University of the West of England, UK.
Cognition & Interaction Lab, University of Skövde, Skövde, Sweden,.
Cognition & Interaction Lab, University of Skövde, Skövde, Sweden,.
Show others and affiliations
(English)Manuscript (preprint) (Other academic)
Abstract [en]

We present a macroscopic mathematical model of energy generation dynamics in oxygen-diffusion cathode microbial fuel cells (ODC-MFCs). The model is phenomenologically derived on the basis of actual experimental data, obtained by a battery of ODC-MFCs connected in series that supplied energy to a physical robot prototype. Due to its limited computational overhead, the simple set of equations is particularly suitable for the study of robot adaptive behavior under naturalistic energyconstraints in computer simulations, and as a tool for the design and optimization of stack configurations of large sets of MFCs.

Keyword [en]
Microbial fuel cells, adaptive behavior, energy management, artificial metabolism
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-77221OAI: oai:DiVA.org:liu-77221DiVA: diva2:525632
Available from: 2012-05-08 Created: 2012-05-08 Last updated: 2012-05-25Bibliographically approved
In thesis
1. Modeling the Role of Energy Management in Embodied Cognition
Open this publication in new window or tab >>Modeling the Role of Energy Management in Embodied Cognition
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The quest for adaptive and autonomous robots, flexible enough to smoothly comply with unstructured environments and operate in close interaction with humans, seems to require a deep rethinking of classical engineering methods. The adaptivity of natural organisms, whose cognitive capacities are rooted in their biological organization, is an obvious source of inspiration. While approaches that highlight the role of embodiment in both cognitive science and cognitive robotics are gathering momentum, the crucial role of internal bodily processes as foundational components of the biological mind is still largely neglected.

This thesis advocates a perspective on embodiment that emphasizes the role of non-neural bodily dynamics in the constitution of cognitive processes in both natural and artificial systems. In the first part, it critically examines the theoretical positions that have influenced current theories and the author's own position. The second part presents the author's experimental work, based on the computer simulation of simple robotic agents engaged in energy-related tasks. Proto-metabolic dynamics, modeled on the basis of actual microbial fuel cells for energy generation, constitute the foundations of a powerful motivational engine. Following a history of adaptation, proto-metabolic states bias the robot towards specific subsets of behaviors, viably attuned to the current context, and facilitate a swift re-adaptation to novel tasks. Proto-metabolic dynamics put the situated nature of the agent-environment sensorimotor interaction within a perspective that is functional to the maintenance of the robot's overall `survival'. Adaptive processes tend to convert metabolic constraints into opportunities, branching into a rich and energetically viable behavioral diversity.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2012. 116 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1455
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-77231 (URN)978-91-7519-882-8 (ISBN)
Public defence
2012-06-12, G109, hus G, Högskolan i Skövde, Skövde, 13:15 (English)
Supervisors
Available from: 2012-05-25 Created: 2012-05-08 Last updated: 2012-05-25Bibliographically approved

Open Access in DiVA

No full text

Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 82 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf