The fundamental goal of multi-agent robotics is simple: how to create
control laws and behaviors that, when executed by each individual robot,
some desirable global behavior emerges. The global behavior may range
from something as simple as the robots meeting at a single point, to
something as complex as a collective search and rescue mission. Our
research focuses on one of the more fundamental issues in multi-agent,
mobile robotics: the formation control problem. The idea is to create
controllers that cause robots to move into a predened formation shape.
This is a well studied problem for the scenario in which the robots know
in advance to which point in the formation they are assigned. In our
case, we assume this information is not given in advance, but must be
determined dynamically. This thesis presents an algorithm that can be
used by a network of mobile robots to simultaneously determine ecient
robot assignments and formation pose for rotationally and
translationally invariant formations. This allows simultaneous role
assignment and formation sysnthesis without the need for additional
control laws.