Division of Informatics
Forrest Hill & 80 South Bridge
Research Paper #795 | |
|---|---|
| Title: | Robot Shaping - Principles, Methods and Architectures |
| Authors: | Perkins,SJ; Hayes,GM |
| Date: | Mar 1996 |
| Presented: | To be presented at Artificial Intelligence and Simulation of Behaviour '96 - Workshop on Learning in Robots and Animals |
| Keywords: | |
| Abstract: | In this paper, we contrast two seemingly o0pposing views on robot design: traditional engineering methods, and automated methods using learning and evolutionary techniques. We argue that while each has its advantages, it is likely that significant progress in robotics could be made using a suitable hybrid of the two philosophies. of course many successful systems already do this, but they do so in rath ad hoc ways. In contrast, we are attempting to propose a principled way in which engineering design can be combined with evolution, which we call shaping. We present some general principles that we believe should underlieshaping, and follow this up with a set of methods that might be used to put those principles into practice. We then discuss and justify a novel neuro-evolutionary architecture that we believe to be particularly suitable for use in a shaping context. Finally we set out our goals for the future of this research. |
| Download: | POSTSCRIPT COPY |
![[Search These Pages]](http://www.dai.ed.ac.uk/icons/dai_search.gif){kind=icon}
![[DAI Home Page]](http://www.dai.ed.ac.uk/icons/dai_home.gif){kind=icon}
![[Comment]](http://www.dai.ed.ac.uk/icons/dai_comment.gif){kind=icon}