Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Artificial chemistries—a review
Artificial Life
Crystalline Robots: Self-Reconfiguration with Compressible Unit Modules
Autonomous Robots
A Study of Replicators and Hypercycles by Typogenetics
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Case Studies in Planar Part Feeding and Assembly Based on Design of Limit Sets
International Journal of Robotics Research
Water Floating Self-assembling Agents
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Automated optimal design of mechanical conformational switches
Artificial Life
Subassembly generation via mechanical conformational switches
Artificial Life
Abstractions and algorithms for assembly tasks with large numbers of robots and parts
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
Stochastic strategies for a swarm robotic assembly system
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Morphology detection for magnetically self-assembled modular robots
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Development of top-down analysis of distributed assembly tasks
PerMIS '09 Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems
Setpoint regulation for stochastically interacting robots
Autonomous Robots
Attributes of two-dimensional magnetic self-assembly
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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In this article, we propose a new analyzing method for self-assembling systems. Its initial purpose was to predict the yield-the final amount of desired product-of our original self-assembling mechanical model. Moreover, the method clarifies the dynamical evolution of the system. In this method, the quantity of each intermediate product is adopted as state variables, and the dynamics that dominates the state variables is derived. The behavior of the system is reduced to a set of difference equations with a small degree of freedom. The concept is the same as in chemical kinetics or in population dynamics. However, it was never applied to self-assembling systems. The mathematical model is highly abstracted so that it is applicable to other self-assembling systems with only small modifications.