The analysis of measurement uncertainty is necessary in every measurement process. In this paper, we suggest an approach to categorize and model the dominant sources of uncertainty and study the probabilistic propagation of the uncertainties in a 3D inspection using laser line scanners. To each point of the measurement point cloud, we associate a covariance matrix describing the corresponding dispersion ellipsoid in the 3D space. The uncertainties can be analyzed for each desired laser and camera constellation and thus, the method can be applied in designing and optimizing laser scanner setups, reducing the effort of manually evaluating the setup in a trial and error approach. As a demonstration, the inspection of a cylinder head has been simulated using computer graphics and the estimated uncertainty metrics are visualized on the measured surface

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This paper presents design, implementation details and field trial results for a multimodal human machine interface for a robotic walking and sit-to-stand transfer assisting device with force-torque-sensor, user intention detection and active fall prevention. Two different human machine interfaces are described, a purely haptic version with buttons only and an alternative approach using a tablet computer. It is described, how the different modalities, optimized for the target user group of elderly persons, make the interaction with the system intuitive and reduce fear of contact with such a technical system. For the tablet PC based touch sensitive interface we describe our approach to automatically track user interactions with the system for detailed analysis and user interface optimization.