@inproceedings{NiedersteinerPohltSchlegl, author = {Niedersteiner, Sascha and Pohlt, Clemens and Schlegl, Thomas}, title = {Smart Workbench: A Multimodal and Bidirectional Assistance System for Industrial Application}, series = {IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 09.-12.11.2015, Yokohama, Japan}, booktitle = {IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 09.-12.11.2015, Yokohama, Japan}, publisher = {IEEE}, address = {Piscataway, N.J.}, isbn = {978-1-4799-1762-4}, doi = {10.1109/iecon.2015.7392549}, abstract = {Manual tasks in industrial production are often monotonous, leading to a decrease in concentration and motivation of the worker and thus to deficiencies in the products. With quality as well as performance requirements getting more and more stringent, workers need additional support by their work environment. We developed a novel approach providing worker assistance and inline quality assurance for manual workplaces. The prototypical system Smart Workbench (SWoB) uses a multimodal sensor interface consisting of a 3D depth sensor in combination with a 2D camera to control quality aspects of the product and track the work progress. The bidirectional flow of information is handled via an image processing driven gestural interface and the displaying of advice directly on the work surface. In this paper the developed system is introduced and the current state of evaluating its industrial usage with a manual quality control and packaging task reported.}, language = {en} } @article{GrossmannSchlegl, author = {Großmann, Benjamin and Schlegl, Thomas}, title = {Development of a Hybrid Path/Force Control Architecture for an Assisting Robot}, series = {International journal of mechanics and control : JoMaC}, volume = {15}, journal = {International journal of mechanics and control : JoMaC}, number = {1}, publisher = {Levrotto\&Bella}, address = {Torino}, issn = {1590-8844}, pages = {27 -- 34}, abstract = {For human machine interaction a control ar chitecture for the force controlled guidance mode of a five axis robot is developed. This enables a human operator to move the robot easily by applying forces at th e end-effector. The position and th e path can then be tracked and stored for a later reuse. The control archit ecture is also used in a hybrid mode where it is possible to control chosen workspace coordinates with a path controller and others with a force controller. The hybrid mode is especially used to cut tissue material with a scalpel which is mounted at the robots effector.}, language = {en} } @article{SchleglRobatzekKuceraetal., author = {Schlegl, Peter and Robatzek, Patrick and Kucera, Markus and Volbert, Klaus and Waas, Thomas}, title = {Performance analysis of mobile radio for automatic control in smart grids}, series = {International Journal of Advancements in Electronics and Electrical Engineering}, volume = {4}, journal = {International Journal of Advancements in Electronics and Electrical Engineering}, number = {1}, issn = {2319-7498}, pages = {69 -- 75}, abstract = {In the context of a "Smart Grid" research project, together with industrial partners, the OTH-Regensburg realized an intelligent medium-voltage grid in the local area. Goal was to improve the current voltage regulation and to counter the problems with inconsistent energy feed-in of decentralized renewable energy producers. In this paper we discuss the possibilities of using 3rd generation (3G) cellular networks (UMTS) as basic technology to communicate the voltage-levels within a medium-voltage grid. We build an experimental hardware setup to generate data-traffic as specified for the smart grid. By analyzing the performance of 3G cellular networks in terms of transmission latency and rate of failure, we tried to evaluate the usability of this technology for such critical data exchange. Though mobile communication in its structure is not specified for the use of transmitting such infrastructure critical data, the results show a promising high reliability with low transmission latency. The experiments served just to test a fragment of the conditions of use in a real scenario. An expanded test scope is needed to further analyze the performance of mobile radio for automatic control in smart grids. In the end the results discussed in this paper led to a successful prototype of an intelligent medium-voltage grid with mobile radio as communication technology}, language = {en} } @article{BrollRosentrittSchlegletal., author = {Broll, Alexander and Rosentritt, Martin and Schlegl, Thomas and Goldhacker, Markus}, title = {A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning}, series = {Frontiers in Artificial Intelligence}, volume = {7}, journal = {Frontiers in Artificial Intelligence}, publisher = {Frontiers Media SA}, issn = {2624-8212}, doi = {10.3389/frai.2024.1339193}, abstract = {Background and objectiveDue to the high prevalence of dental caries, fixed dental restorations are regularly required to restore compromised teeth or replace missing teeth while retaining function and aesthetic appearance. The fabrication of dental restorations, however, remains challenging due to the complexity of the human masticatory system as well as the unique morphology of each individual dentition. Adaptation and reworking are frequently required during the insertion of fixed dental prostheses (FDPs), which increase cost and treatment time. This article proposes a data-driven approach for the partial reconstruction of occlusal surfaces based on a data set that comprises 92 3D mesh files of full dental crown restorations.MethodsA Generative Adversarial Network (GAN) is considered for the given task in view of its ability to represent extensive data sets in an unsupervised manner with a wide variety of applications. Having demonstrated good capabilities in terms of image quality and training stability, StyleGAN-2 has been chosen as the main network for generating the occlusal surfaces. A 2D projection method is proposed in order to generate 2D representations of the provided 3D tooth data set for integration with the StyleGAN architecture. The reconstruction capabilities of the trained network are demonstrated by means of 4 common inlay types using a Bayesian Image Reconstruction method. This involves pre-processing the data in order to extract the necessary information of the tooth preparations required for the used method as well as the modification of the initial reconstruction loss.ResultsThe reconstruction process yields satisfactory visual and quantitative results for all preparations with a root mean square error (RMSE) ranging from 0.02 mm to 0.18 mm. When compared against a clinical procedure for CAD inlay fabrication, the group of dentists preferred the GAN-based restorations for 3 of the total 4 inlay geometries.ConclusionsThis article shows the effectiveness of the StyleGAN architecture with a downstream optimization process for the reconstruction of 4 different inlay geometries. The independence of the reconstruction process and the initial training of the GAN enables the application of the method for arbitrary inlay geometries without time-consuming retraining of the GAN.}, language = {en} }