Title :
A Combined Seed-Identification and Generation Analysis Algorithm for Self-Reproducing Systems
Author :
Menezes, Amor ; Kabamba, Pierre
Author_Institution :
Univ. of Michigan, Ann Arbor
Abstract :
This paper is motivated by the need to minimize the payload mass required to establish an extraterrestrial robotic colony. The basic premise is that the colony will consist of individual robots that have the capability to self-reproduce. In this paper, self-reproduction is achieved by the actions of a robot on available resources. Hence, a seed for the colony consists of a set of robots and a set of resources. The technical problem addressed is the identification of a seed for a class of generation systems. An algorithm is provided for the solution of this problem, and is illustrated on a self-replicating system that has been documented in the literature.
Keywords :
probabilistic automata; robots; self-reproducing automata; extraterrestrial robotic colony; generation analysis algorithm; payload mass minimization; probabilistic generation system; seed-identification algorithm; self-reproducing systems; Algorithm design and analysis; Biological systems; Cities and towns; Control systems; Genetic mutations; Moon; Orbital robotics; Payloads; Robots; Weight control;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282762