Evolutionary Robotics: Exploring New Horizons

Stéphane Doncieux 1 Jean-Baptiste Mouret 1 Nicolas Bredeche 2, 3 Vincent Padois 1
2 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : This paper considers the field of Evolutionary Robotics (ER) from the perspective of its potential users: roboticists. The core hypothesis motivating this field of research is discussed, as well as the potential use of ER in a robot design process. Four main aspects of ER are presented: (a) ER as an automatic parameter tuning procedure, which is the most mature application and is used to solve real robotics problem, (b) evolutionary-aided design, which may benefit the designer as an efficient tool to build robotic systems (c) ER for online adaptation, i.e. continuous adaptation to changing environment or robot features and (d) automatic synthesis, which corresponds to the automatic design of a mechatronic device and its control system. Critical issues are also presented as well as current trends and pespectives in ER. A section is devoted to a roboticist's point of view and the last section discusses the current status of the field and makes some suggestions to increase its maturity.
Document type :
Book sections
Complete list of metadatas

Cited literature [103 references]  Display  Hide  Download

https://hal.inria.fr/inria-00566896
Contributor : Nicolas Bredeche <>
Submitted on : Thursday, February 17, 2011 - 1:16:35 PM
Last modification on : Thursday, March 21, 2019 - 1:05:30 PM
Long-term archiving on : Wednesday, May 18, 2011 - 2:48:53 AM

File

ER2011positionER.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00566896, version 1

Citation

Stéphane Doncieux, Jean-Baptiste Mouret, Nicolas Bredeche, Vincent Padois. Evolutionary Robotics: Exploring New Horizons. Springer Series: Studies in Computational Intelligence. New Horizons in Evolutionary Robotics, Springer, pp.3-25, 2011. ⟨inria-00566896⟩

Share

Metrics

Record views

689

Files downloads

1324