Robotic morphogenesis

Author

Liang, Ping ; Ben, Gerardo

Author_Institution

Coll. of Eng., California Univ., Riverside, CA, USA

Volume

2

fYear

1995

fDate

21-27 May 1995

Firstpage

2175

Abstract

A new, biologically motivated approach to self-organizing pattern formation and function determination in a distributed array of many identical cells is presented. Methods for asynchronous pattern formation using linear swarm models, pattern formation by boundary pattern generation and propagation, and differentiation by message coding are proposed. A gradient descent based algorithm for linear swarms that guarantees convergence is introduced. 2D pattern formation in an array of identical cells is demonstrated by simulation

Keywords

cellular automata; conjugate gradient methods; robots; self-adjusting systems; 2D pattern formation; asynchronous pattern formation; biologically motivated approach; boundary pattern generation; boundary pattern propagation; differentiation; distributed array; function determination; gradient descent based algorithm; linear swarm models; message coding; robotic morphogenesis; self-organizing pattern formation; Biological system modeling; Biology computing; Cells (biology); Clocks; Computational modeling; Difference equations; Embryo; Partial differential equations; Pattern formation; Robots;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on

Conference_Location

Nagoya

ISSN

1050-4729

Print_ISBN

0-7803-1965-6

Type

conf

DOI

10.1109/ROBOT.1995.525582

Filename

525582