Keywords: Agents, multi-agent systems, multiple robotic systems,
robot soccer systems, evolutionary robotics, FIRA
and MiroSot.
Abstract
One of the most challenging goals in artificial intelligence (AI) is the
development of artificial intelligent autonomous agents with human-level
performance. The past few years has
witnessed a tremendous interest in research and discussions on
intelligent agents. With the ever increasing number of robots
in an industrial environment, scientists and technologists are often faced
with issues on cooperation and coordination among different robots and
their self governance in a common work-space. This has led to developments in
multi-robot cooperative autonomous systems. With an aim to study issues
such as group architecture, resource conflict, origin of cooperation,
learning and geometric problems, groups of robots are constructed.
The proponents of multi-robot
autonomous systems needed a model to validate the theories being proposed and
to test their efficacy and efficiency. It is no surprise that they
started focusing on robot soccer. Robot soccer makes heavy demands in all
the key areas of robot technology, mechanics, sensors and intelligence.
It does so in a competitive setting that people around the world can
understand and enjoy.
This paper gives a survey, though not exhaustive,
on the present scenario of multi-agent systems and cooperative robotics.
The robot-soccer system is discussed as a test benchmark for multi-robot
systems.
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