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--- teaching:w21:mobilerobotics [2021/07/09 11:22]
Prof. Dr. Stefan Leutenegger
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Prof. Dr. Stefan Leutenegger
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 Mobile robots have been sent to Mars, can vacuum clean our homes, mow the lawn, and are promised to carry us around in the form of self-driving cars or even flying taxis. In this module, you will learn about the different component of such mobile robots and their interactions: from perception to estimation, mapping, and control. As will also learn to work with different mathematical representations of robot states and maps. Since deployment in open-ended environments requires sophisticated perception, localisation, and mapping approaches, we will dedicate a substantial part of the course towards probabilistic multi-sensor-fusion and modern Simultaneous Localisation and Mapping (SLAM) and more general Spatial AI systems -- including elements of Machine Learning. In the last part, you will then be learning about how to use these representations of robot state and surroundings for navigation and control.
-===== Content =====
+===== Contents =====
 **I Foundations:**
   * Representations of States, the Environment, and Uncertainty

Technical University of Munich