Robert Schmitt
YOU?
Author Swipe
View article: Using a digital twin and smart services to enable automatic generation of context-sensitive instructions
Using a digital twin and smart services to enable automatic generation of context-sensitive instructions Open
View article: Development and Application of a Vertical-Agnostic Methodological Assessment Framework for Evaluation of 5G-Based Use Cases
Development and Application of a Vertical-Agnostic Methodological Assessment Framework for Evaluation of 5G-Based Use Cases Open
This paper addresses the industrial adoption gap of 5G/6G by presenting a verti-cal-agnostic Methodological Assessment Framework (MAF) that bridges network KPI with user-centric User-KPI and User-KVI to quantify techno-economic and societa…
View article: SafePassage: High-Fidelity Information Extraction with Black Box LLMs
SafePassage: High-Fidelity Information Extraction with Black Box LLMs Open
Black box large language models (LLMs) make information extraction (IE) easy to configure, but hard to trust. Unlike traditional information extraction pipelines, the information "extracted" is not guaranteed to be grounded in the document…
View article: Evaluating mobile robot navigation behavior in flexible assembly systems through digital twin and real-world experiments
Evaluating mobile robot navigation behavior in flexible assembly systems through digital twin and real-world experiments Open
View article: The influence of complex classroom noise on auditory selective attention
The influence of complex classroom noise on auditory selective attention Open
View article: Feasibility analysis of automated cleaning in biopharmaceutical production using cleaning-in-place concepts from food production
Feasibility analysis of automated cleaning in biopharmaceutical production using cleaning-in-place concepts from food production Open
In biopharmaceutical production involving cells, cell-derived products, or tissues, the cleaning of surfaces that come into direct or indirect contact with the product is currently performed mostly by hand as the initial step in decontamin…
View article: Bayesian experimental design for optimizing medium composition and biomass formation of tobacco BY-2 cell suspension cultures in stirred-tank bioreactors
Bayesian experimental design for optimizing medium composition and biomass formation of tobacco BY-2 cell suspension cultures in stirred-tank bioreactors Open
Introduction The plant suspension cell culture Bright Yellow-2 (BY-2) can be an economic platform for producing complex biopharmaceuticals like cytokines and antibodies at small- and medium-scale because of potentially reduced cultivation …
View article: A Synthetic Data Pipeline for Supporting Manufacturing SMEs in Visual Assembly Control
A Synthetic Data Pipeline for Supporting Manufacturing SMEs in Visual Assembly Control Open
Quality control of assembly processes is essential in manufacturing to ensure not only the quality of individual components but also their proper integration into the final product. To assist in this matter, automated assembly control usin…
View article: Identification of critical process parameters and quality attributes for bioreactor-based expansion of human MSCs
Identification of critical process parameters and quality attributes for bioreactor-based expansion of human MSCs Open
Mesenchymal stem/stromal cells (MSCs) have been identified as a promising therapeutic option for osteoarthritis, graft vs. host disease and cardiovascular diseases, among others. For widespread application of these therapies, robust and sc…
View article: Industry 4.0 advancements in discrete production ramp-ups: a systematic literature review
Industry 4.0 advancements in discrete production ramp-ups: a systematic literature review Open
Manufacturing companies need to produce increasingly individualised products in shorter time to stay competitive. However, production ramp-ups are often poorly executed and fail to meet their targets. During ramp-up, there is a lack of suf…
View article: Conflict-based model predictive control for multi-agent path finding experimentally validated on a magnetic planar drive system
Conflict-based model predictive control for multi-agent path finding experimentally validated on a magnetic planar drive system Open
Introduction This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict-Based Model Predictive Control (CB-MPC)…
View article: Enabling multimodal sensor fusion in additive manufacturing using a voxel-based data model
Enabling multimodal sensor fusion in additive manufacturing using a voxel-based data model Open
Modern manufacturing processes are monitored by different types of sensors throughout the entire process chain eventually sensing complementary pieces of information which results in the necessity to process multimodal sensor data. Specifi…
View article: Enhancing Energy Monitoring in Construction and Robotics with Plug-and-Play Solution Meter-X
Enhancing Energy Monitoring in Construction and Robotics with Plug-and-Play Solution Meter-X Open
View article: Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes
Reinforcement Learning Agent for Multi-Objective Online Process Parameter Optimization of Manufacturing Processes Open
Optimizing manufacturing processes to reduce scrap and enhance process stability presents significant challenges, particularly when multiple conflicting objectives must be addressed concurrently. As the number of objectives increases, the …
View article: A Fast Metric Based on Marching Cubes and Hausdorff Distance for the Quality Assessment of 3D Volume Data for Computed Tomography Measurement Technology
A Fast Metric Based on Marching Cubes and Hausdorff Distance for the Quality Assessment of 3D Volume Data for Computed Tomography Measurement Technology Open
Inline X-ray Computed Tomography (xCT) offers a promising approach for the quality assurance and control of various workpieces during production. This is due to its capability to non-destructively inspect both internal and external structu…
View article: Distribution analysis in xCT data for identifying factors influencing uncertainty of repeated measurements
Distribution analysis in xCT data for identifying factors influencing uncertainty of repeated measurements Open
X-ray computed tomography (xCT) enables the measurement of inner and outer dimensional quantities by reconstructing the 3D model of an object. Due to limited understanding of the xCT acquisition and reconstruction processes modern guidelin…
View article: A 3D Denoising Neural Network for Improved Surface Quality in Inline CT Metrology
A 3D Denoising Neural Network for Improved Surface Quality in Inline CT Metrology Open
Inline computed tomography (CT) is becoming increasingly important for 100% inspection in production technology. Rapid scanning cycles, often limited to minutes, require a reduction in the number of X-ray projections, resulting in signific…
View article: Comprehensive analysis of degradation mechanisms in 18650 Li-Ion cells under prolonged cycling conditions
Comprehensive analysis of degradation mechanisms in 18650 Li-Ion cells under prolonged cycling conditions Open
View article: Development of an end-to-end automated production concept for extrusion-based additive manufacturing of personalized medical scaffolds
Development of an end-to-end automated production concept for extrusion-based additive manufacturing of personalized medical scaffolds Open
Indroduction Personalized medical devices, especially scaffold-based implants, are increasingly important in medical care. One established manufacturing method for these products is extrusion-based 3D printing, also called 3D material extr…
View article: The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning
The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning Open
This research investigates the application of computer vision for rapid, accurate, and non-invasive food quality assessment, focusing on the novel challenge of real-time raspberry grading into five distinct classes within an industrial …
View article: Deep learning based automation of mean linear intercept quantification in COPD research
Deep learning based automation of mean linear intercept quantification in COPD research Open
Chronic obstructive pulmonary disease (COPD), a major cause of global mortality, necessitates novel therapies targeting lung function and remodeling. Their effect on emphysema formation is initially investigated using mouse models by analy…
View article: Pit-Stop Manufacturing: Decision Support for Complexity and Uncertainty Management in Production Ramp-Up Planning
Pit-Stop Manufacturing: Decision Support for Complexity and Uncertainty Management in Production Ramp-Up Planning Open
The current research presents an extension of the Pit-Stop Manufacturing framework. It addresses the challenges of managing complexity and uncertainty in the production ramp-up phase of manufacturing systems, bridging the gap in existing a…
View article: The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning
The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning Open
This research investigates the application of computer vision for rapid, accurate, and non-invasive food quality assessment, focusing on the novel challenge of real-time raspberry grading into five distinct classes within an industrial env…
View article: Framework for Worker Assistance System to Enable Disassembly Processes Towards Circular Economy
Framework for Worker Assistance System to Enable Disassembly Processes Towards Circular Economy Open
Climate change, one of the most significant threats to humanity, underscores the urgent need to advance the circular economy, particularly in promoting sustainability. Implementing R-strategies such as refurbishment and remanufacturing wit…
View article: Machine vision in manufacturing SMEs: a review
Machine vision in manufacturing SMEs: a review Open
Automating manufacturing tasks, such as quality control, fault detection, part classification, and inventory management with machine vision systems can significantly improve process efficiency, accuracy, and productivity. As a result, the …
View article: Infrared beam-shaping on demand via tailored geometric phase metasurfaces employing the plasmonic phase-change material In3SbTe2
Infrared beam-shaping on demand via tailored geometric phase metasurfaces employing the plasmonic phase-change material In3SbTe2 Open
View article: Generative AI in industrial machine vision: a review
Generative AI in industrial machine vision: a review Open
Machine vision enhances automation, quality control, and operational efficiency in industrial applications by enabling machines to interpret and act on visual data. While traditional computer vision algorithms and approaches remain widely …
View article: The Application of 5G Networks on Construction Sites and in Underground Mines: Successful Outcomes from Field Trials - Extended Version
The Application of 5G Networks on Construction Sites and in Underground Mines: Successful Outcomes from Field Trials - Extended Version Open
The fifth generation of mobile communications, 5G, has been introduced to various application domains, enabling significant progress towards networked and adaptive systems. As the development of 5G was specifically tailored towards the req…
View article: Adaptive Control Strategies for Networked Systems: A Reinforcement Learning-Based Approach
Adaptive Control Strategies for Networked Systems: A Reinforcement Learning-Based Approach Open
Advances in industrial 5G communication technologies and robotics create new possibilities while also increasing the complexity and variability of networked control systems. The additional throughput and lower latency provided by 5G networ…
View article: Hybrid Long-Range–5G Multi-Sensor Platform for Predictive Maintenance for Ventilation Systems
Hybrid Long-Range–5G Multi-Sensor Platform for Predictive Maintenance for Ventilation Systems Open
In this paper, we present a multi-sensor platform for predictive maintenance featuring hybrid long-range (LoRa) and 5G connectivity. This hybrid approach combines LoRa’s low-power transmission for energy efficiency with 5G’s real-time data…