Abstract
The paper presents a collection of projects on autonomous mobile systems with a focus on artificial intelligence technologies. Basic technologies necessary for autonomous mobile behaviour are described. Current methods and application fields of SLAM, feature extraction based on various sensory data, working with simulations, and gripping with robot manipulators will be discussed. Some ideas on solutions for problems in real world applications will be presented. The area of application is a four wheeled robotic platform with an integrated 6-DOF manipulator. Focus will be set on machine learning methods, in particular object detection and reinforcement learning. The paper gives an overview of required technologies for autonomous robotic systems and current state of the art methods. Some aspects and problems arising in applications will be discussed in more detail. The projects have been carried out in student projects at the autosys research lab at the Department Computer Science of University of Applied Sciences Hamburg [1].
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