Research > Faculty Projects
EFRI-ARESCI: Controlling the Autonomously Reconfiguring Stochastic Factory
Principal Investigator
Eric Klavins
Sponsor(s)
Massachusetts Institute of Technology (Flow-
through to National Science Foundation)
Award Period
01/01/2008 - 12/31/2011
Abstract
This collaborative project proposes to improve our
understanding of robustness networked systems by exploring
the idea of an autonomously reconfiguring stochastic
factory. The PIs envision this factory as a broad concept:
a process with built-in adaptation to demand as well as
availability of raw materials and supplies chains in the
form of computational processes capable of reconfiguration.
The key attributes of such processes are autonomy,
distribution of sensing, control, and possibly actuation,
stochastic behavior, and adaptation. Manufacturing,
construction, and distributed computing processes can be
formalated in this proposed framework, leading to a generic
study of autonomy, adaptation, and programmability of
systems to provide robustness (to changes in intent and
supplies), a stability (of structures and processes), and
effective performance.
Updates or corrections to this page should be sent to gheaton@u.washington.edu.
