학술논문

The statistical dynamics of programmed self-assembly
Document Type
Conference
Source
Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on. :1469-1476 2006
Subject
Robotics and Control Systems
Computing and Processing
Signal Processing and Analysis
Self-assembly
Kinetic theory
Robot kinematics
Markov processes
Predictive models
Robotic assembly
Testing
Veins
Manipulator dynamics
Reliability engineering
Language
ISSN
1050-4729
Abstract
We describe how a graph grammar program for robotic self-assembly, together with measurements of kinetic rate data yield a Markov process model of the dynamics of programmed self-assembly. We demonstrate and validate the method by applying it to a physical testbed consisting of a number of "programmable parts", which are able to control their local interactions according to their on-board programs. We describe a technique for obtaining kinetic rate constants from simulation and a comparison of the behavior predicted by the Markov model with the behavior predicted by a high-fidelity simulation of the system