Towards Identifying Biological Research Articles in Computer-Aided Biomimetics

Ruben Kruiper, Julian Vincent, Jessica Chen-Burger, Marc Phillipe Yves Desmulliez

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

43 Downloads (Pure)

Abstract

When solving engineering problems through biomimetic design, a lack of knowledge of biology often impedes the translation of biological ideas into engineering principles. Specific challenges are the identification, selection and abstraction of relevant biological information. The use of engineering terminology to search for relevant biological information is hypothesised to contribute to the adventitious character of biomimetics. Alternatively, a holistic approach is proposed where a division is made between the analysis of biological research papers and the decomposition of the engineering problem. The aim of a holisitic approach is to take into account the importance of context during analogical problem solving and provide a theoretical framework for the development of Computer-Aided Biomimetics (CAB) tools. Future work will focus on the development of tools that support engineers during the analysis of biological research papers and modelling of biological systems by providing relevant biological knowledge.
Original languageEnglish
Title of host publicationBiomimetic and Biohybrid Systems
EditorsMichael Mangan, Mark Cutkosky, Anna Mura, Paul F. M. J. Verschure, Tony Prescott, Nathan Lepora
PublisherSpringer International Publishing
Pages242-254
Number of pages13
ISBN (Electronic)9783319635378
ISBN (Print)9783319635361
DOIs
Publication statusPublished - 16 Jul 2017
Event6th International Conference on Biomimetic and Biohybrid Systems - Stanford, United States
Duration: 26 Jul 201728 Jul 2017

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer International Publishing
Volume10384
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Biomimetic and Biohybrid Systems
CountryUnited States
CityStanford
Period26/07/1728/07/17

Keywords

  • Bio-mimetics
  • biohybrid
  • robots
  • 3D printing
  • Deep Learning
  • human robot interaction
  • brain based systems
  • cognition
  • artificial life
  • soft robots

Fingerprint Dive into the research topics of 'Towards Identifying Biological Research Articles in Computer-Aided Biomimetics'. Together they form a unique fingerprint.

  • Cite this

    Kruiper, R., Vincent, J., Chen-Burger, J., & Desmulliez, M. P. Y. (2017). Towards Identifying Biological Research Articles in Computer-Aided Biomimetics. In M. Mangan, M. Cutkosky, A. Mura, P. F. M. J. Verschure, T. Prescott, & N. Lepora (Eds.), Biomimetic and Biohybrid Systems (pp. 242-254). (Lecture Notes in Artificial Intelligence; Vol. 10384). Springer International Publishing. https://doi.org/10.1007/978-3-319-63537-8_21