A very short story about autonomous robots
G. Steinbauer, R. Koholka, and W. Maass
Machine learning for autonomous mobile robots is a very interesting but also
very difficult problem. In this domain you need robust, fast and efficient
learning algorithms. The combination of machine learning and mobile robots
allows us to create machines whose performance surpasses both explicitly
programmed robots and humans. Although humans can learn, their sensors and
actuators are in several aspects inferior to those of robots. On the other
hand a non-learning robot can only perform tasks where all the individual
difficulties and complexities can be anticipated by the programmer of the
robot. In this short article we discuss both a completed project, and a new
one that has just started. The first project produced a robot that applied
learning to improve his minigolf skills. The new project is the creation of
the first Austrian team of autonomous robot soccer players that will compete
in the robot soccer world championship RoboCup1.
Reference: G. Steinbauer, R. Koholka, and W. Maass.
A very short story about autonomous robots.
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