|dc.description.abstract||Cooperative robotics deals with multiple robot platforms working to accomplish a common
goal and has a multitude of applications including security, surveying, search and rescue,
and many more. The use of multiple robots allows a task to be completed more e ciently,
and is less prone to failure in the event that one of the robots becomes immobile.
The Robotic Operating System (ROS) is a mainstream software framework being used
for robotic research around the world. Despite its popularity and the very strong robotic
community behind its success, there has not been much work with ROS involving multirobot
teams. This thesis presents a complete multi-robot system implemented within the
ROS software framework. Speci cally, this work implements a collaborative robotic system
that performs map coverage of a known environment.
A team of robots is designed and programmed to cover a map with their range sensors.
A list of frontiers that border searched and unsearched space is maintained. Each robot is
assigned to travel towards unsearched space until the entire map has been covered.
The frontier-based coverage method is evaluated through a series of simulation experiments
in which the coverage planner is tested in di erent map environments while varying
the number of robots in the system. The ROS-based implementation of multi-robot frontier
coverage is shown to successfully be able to cover an entire area with a team of autonomous