Titlebook: Approaches to Probabilistic Model Learning for Mobile Manipulation Robots; Jürgen Sturm Book 2013 Springer-Verlag Berlin Heidelberg 2013 A

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Object Recognition Using Tactile Sensors,er. In particular for robotic manipulation tasks, tactile sensing provides another sensor modality that can reveal relevant aspects about the object being manipulated, for example, to infer its identity, pose, and internal state.

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Learning Manipulation Tasks by Demonstration,n the production process. As a consequence, novel manipulation skills become relevant on a regular basis. For this reason, there is a need for solutions that enable normal users to quickly and intuitively teach new manipulation skills to a robot.

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Object State Estimation Using Tactile Sensors,the tactile signal can be used to infer several aspects of the internal state of an object. For example, these features allow a robot to detect whether a grasped bottle contains liquid and whether its cap has been properly closed. This information is highly relevant for domestic robots that fulfill service tasks such as tidying up.

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