»Hi Tina
Maze! Where are you hiding your skis?«. Aha, under the blue cylinder. I already
saw it, when I was delivering his hamlet to Peter Prevc. I should return to it;
I have to find the right path. It will be better to turn left, because I will
arrive at the goal faster, and I will avoid obstacles better. I have to deliver
the skies to Tina, and then I’m done for today with my job as a DeliveryBot.

Such type
of communication and reasoning is needed to solve complex tasks, such as the
one described above. We, humans, are very good in performing such types of
tasks, however intelligent robots are capable of such behavior as well. Such
intelligent agents consist of modules for machine perception (the use of
sensors, signal processing, object recognition, image interpretation, localization),
as well as modules for control, tactical and strategic reasoning and learning. Similarly
as humans, the intelligent robot systems can also perceive the environment,
experiment, learn, and apply the acquired knowledge for solving the tasks in
the future.

The course
is very practically oriented with the emphasis on the hands-on experience. The
solutions will be implemented and integrated on real robotic platforms using
the Robot Operating System, ROS. We will work with mobile robots, which we
built from the robot vacuum cleaner iRobot Roomba, the RGBD camera Kinect and other
electronic parts. The robots will have to autonomously solve complex tasks,
such as the delivery task described above. And of course, to make the development
of such robots even more interesting and challenging, the robots developed by the groups of
students will compete between themselves in a real robot competition. Let
the best robot win!