Title
A fully decentralized control of an amoeboid robot by exploiting the law of conservation of protoplasmic mass
Abstract
Self-reconfigurable robots are expected to exhibit various interesting abilities, such as adaptivity and fault tol- erance. These remarkable abilities originate from the fact that their mechanical systems intrinsically possess very large degrees of freedom. This, however, causes a serious problem, i.e., controllability. To overcome this, autonomous decentralized control is expected to play a crucial role, as widely observed in living organisms. However, much is still not understood about how such decentralized control can be achieved. This is mainly because the logic connecting local behaviors to global behaviors is still not understood. In this study, we particularly focus on a very primitive living organism, slime mold (physarum poly- cepharum), since it is believed to employ a fully decentralized control based on coupled biochemical oscillators. We modeled a decentralized control algorithm based on coupled nonlinear oscillators and then implement this into a two-dimensional modular robot consisting of incompressive fluid (i.e., proto- plasm) covered with an outer skin composed of a network of passive and real-time tunable springs. Preliminary simulation results showed that this modular robot exhibits significantly supple locomotion similar to amoeboid locomotion and that the exploitation of the "long-distant interaction" stemming from "the law of conservation of protoplasmic mass" performs some of the "computation" that the controller would otherwise have to carry out. As a consequence, adaptive amoeboid locomotion emerges without the need for any centralized control system. The results obtained are also expected to shed new light on how control and mechanical systems with large degrees of freedom should be coupled.
Year
DOI
Venue
2008
10.1109/ROBOT.2008.4543358
Pasadena, CA
Keywords
Field
DocType
adaptive control,decentralised control,legged locomotion,adaptive locomotion,amoeboid robot,brain-body-interaction,computational offloading,control systems,embodied agent,fully decentralized control,protoplasmic mass conservation law,soft mechanical system
Control theory,Decentralised system,Embodied agent,Control theory,Control engineering,Control system,Engineering,Adaptive control,Robot,Mechanical system,Computation
Conference
Volume
Issue
ISSN
2008
1
1050-4729 E-ISBN : 978-1-4244-1647-9
ISBN
Citations 
PageRank 
978-1-4244-1647-9
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Takuya Umedachi17615.88
Taichi Kitamura271.94
Akio Ishiguro332160.94