Evolvable robot hardware

Alan F. Winfield*, Jon Timmis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (SciVal)


The theory and practice of evolutionary robotics is well established (Nolfi and Floreano, 2000). However, the overwhelming majority of work in evolutionary robotics has, to date, been concerned with evolving a robot’s control system. The robot’s control system is normally expressed entirely in software: it may be a program, or weights in an artificial neural network (ANN). Then the instantiation of a robot from its genome typically requires only that the control program coded by the genome is uploaded into the fixed robot hardware, ready for fitness evaluation. This is not to belittle the difficult challenges of evolutionary robotics, but to point out that conventional practice has, with a very small number of notable exceptions, avoided the altogether greater challenge of evolving a robot’s physical body.
Original languageEnglish
Title of host publicationEvolvable Hardware
Subtitle of host publicationFrom Practice to Application
PublisherSpringer Nature
Number of pages18
ISBN (Electronic)9783662446164
ISBN (Print)9783662446157
Publication statusPublished - 14 Sept 2015

Publication series

NameNatural Computing Series
ISSN (Print)1619-7127


  • real robot
  • robot controller
  • robot body
  • simulated robot
  • evolutionary robotic

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