(Georgia Institute of Technology, 2005-04)
Egerstedt, Magnus B.; Balch, Tucker; Dellaert, Frank; Delmotte, Florent; Khan, Z.
In this paper, we study the problem of going
from a real-world, multi-agent system to the generation of
control programs in an automatic fashion. In particular,
a computer vision system is presented, capable of simultaneously
tracking multiple agents, such as social insects.
Moreover, the data obtained from this system is fed into a
mode-reconstruction module that generates low-complexity
control programs, i.e. strings of symbolic descriptions of
control-interrupt pairs, consistent with the empirical data.
The result is a mechanism for going from the real system to
an executable implementation that can be used for controlling
multiple mobile robots.