Self-organization by fuzzy clustering

Gerardo Beni; Susan Hackwood; Xiaomin Liu

doi:10.1117/12.140125

1 July 1992 Self-organization by fuzzy clustering

Gerardo Beni, Susan Hackwood, Xiaomin Liu

Proceedings Volume 1710, Science of Artificial Neural Networks; (1992) https://doi.org/10.1117/12.140125
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

New types of robot systems have recently been suggested based on the idea of distributed, collective intelligence analogous to biological systems. In this paper we investigate the relationship between fuzzy clustering (FC) and problems of self-organization in such systems, referred collectively as distributed robotic systems (DRS). The particular problem of self- organization in DRS prompts a reconsideration of the available FC techniques. Recent advances in FC are reviewed with the intent of adapting them to thy DRS problem. A `minimally biased' clustering algorithm producing a validity ranked hierarchy of partitions is applied to the self-organizing evolution of DRS. Two cases are considered: a bottom up self organization into increasing larger groups and a top down dispersion of a group to optimally cover a sensory field.

Citation Download Citation

Gerardo Beni, Susan Hackwood, and Xiaomin Liu "Self-organization by fuzzy clustering", Proc. SPIE 1710, Science of Artificial Neural Networks, (1 July 1992); https://doi.org/10.1117/12.140125

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available