A5016551376- Robot Manipulation and Learning
- Additive Manufacturing and 3D Printing Technologies
- Manufacturing Process and Optimization
- Additive Manufacturing Materials and Processes
- Islamic Studies and History
- German Colonialism and Identity Studies
- European history and politics
- German legal, social, and political studies
- Jewish and Middle Eastern Studies
- Postcolonial and Cultural Literary Studies
- Law and Political Science
- Environmental Toxicology and Ecotoxicology
- Industrial Vision Systems and Defect Detection
- Pharmaceutical and Antibiotic Environmental Impacts
- Simulation Techniques and Applications
- Reinforcement Learning in Robotics
- Robotics and Automated Systems
- Robotic Mechanisms and Dynamics
- Gender Studies in Language
- Public Administration and Political Analysis
- Sociology and Education Studies
- German Literature and Culture Studies
- Welding Techniques and Residual Stresses
- Toxic Organic Pollutants Impact
- Travel Writing and Literature
Goethe University Frankfurt
2012-2024
University of Münster
2020-2023
RWTH Aachen University
2019-2023
Friedrich-Alexander-Universität Erlangen-Nürnberg
2022
Institute of Automation
2019-2022
BMW Group (Germany)
2018-2021
BMW (Germany)
2018-2021
Federal Employment Agency
2018-2020
Helmholtz Centre for Environmental Research
2020
Roche Pharma AG (Germany)
2009-2015
Predictive maintenance is one of the major drivers Industry 4.0 as it can significantly reduce costs by improving overall equipment effectiveness and extending remaining useful life production machines. Most potential lies in brownfield with old where no sensors or connectivity are available. This paper shows how these machines be enabled for predictive retrofitting low-cost sensors, an Industrial-Internet-of-Things-architecture machine learning. An industrial implementation on a heavy lift...
Meeting ecological and water quality standards in lotic ecosystems is often failed due to multiple stressors. However, disentangling stressor effects identifying relevant stressor-effect-relationships complex environmental settings remain major challenges. By combining state-of-the-art methods from ecotoxicology aquatic ecosystem analysis, we aimed here disentangle the of chemical non-chemical stressors along a longitudinal land use gradient third-order river Germany. We distinguished...
Previous algorithms for slicing, path planning or trajectory of additive manufacturing cannot be used consistently multidirectional with pure object manipulation in wire-arc manufacturing. This work presents a novel approach that directly takes robot kinematics into account and thus ensures the reachability all critical poses. In an additional step, planned segments are smoothed so joint velocity limits respected. It is shown implemented planner generates executable paths at same time...
Wire Arc Additive Manufacturing (WAAM) with eccentric wire feed requires defined operating conditions due to the possibility of varying shapes deposited and solidified material depending on welding torch orientation. In consequence, produced component can contain significant errors because single bead geometrical are cumulatively added next layer during a building process. order minimise such inaccuracies caused by manipulation, this article illustrates concept testing object-manipulated...
Abstract Background Floodplains are biodiversity hotspots and provide numerous ecosystem services. In recent decades, however, 70–90% of Europe’s floodplains have been structurally degraded. Accordingly, many (inter-)national programs aim to restore protect floodplain ecosystems. The success such measures also depends on the chemical contamination, especially soils sediments, which serve as sinks sources for a variety pollutants. this study, we assess current ecotoxicological status...
In manufacturing industries, vast potential exists in regards to the adaptability of automated systems through efficient robotic skill acquisition. This paper examines use deep reinforcement learning automate process contact rich compliant assembly. Thereby, we consider an exemplary real-world case car To obtain training data, a simulated representation production system comprising arm which is controlled agent trained with proximal policy optimization. Furthermore, conduct basic analysis...
Discrete-event simulation has been established as an important methodology in various domains. In particular the automotive industry, is used to plan, control, and monitor processes including flow of material information. Procedure models help perform studies a structured way tools for data preparation or statistical analysis provide assistance some phases studies. However, there no comprehensive following all such procedure models. this article, new approach combining functionalities input...
Gantenerumab, a human anti-Aβ antibody designed to bind aggregated Aβ and promote plaque removal, was studied in SCarlet RoAD (NCT01224106; WN25203)—a Phase 3, multicenter, randomized, double-blind, placebo-controlled, 2-year trial prodromal AD. Dosing terminated December 2014 following pre-planned futility analysis; patients continue be followed. CSF biomarker data amyloid PET sub-study results are presented (patients completing treatment). Eligible were 50–85 years old, had MMSE scores...
Discrete-event simulation has been established as an important methodology in various domains. In particular the automotive industry, is used to plan, control, and monitor processes including flow of material information. Procedure models help perform studies a structured way tools for data preparation or statistical analysis provide assistance some phases studies. However, there no comprehensive following all such procedure models. this article, new approach combining functionalities input...
For years, the fully-automated robotic assembly has been a highly sought-after technology in large-scale manufacturing. Yet it still struggles to find widespread implementation industrial environments. Traditional programming so far proven be insufficient provide required flexibility and dexterity solve complex tasks. Although research control using deep reinforcement learning (DRL) advances quickly, transfer real-world applications settings is lagging behind. In this study, we apply DRL for...
For years, the fully-automated robotic assembly has been a highly sought-after technology in large-scale manufacturing. Yet it still struggles to find widespread implementation industrial environments. Traditional programming so far proven be insufficient providing required flexibility and dexterity solve complex tasks. Research control using deep reinforcement learning (DRL) advances quickly, however, transfer real-world applications settings is lagging behind. In this study, we apply DRL...
Self-optimizing robots and machines in future factories are an exciting next step towards ever more efficient industry. To achieve this goal, used production must gain understanding of the quality their behavior. Machine learning can help us move closer to goal. In paper, we provide insights on feasibility self-optimized laser welding show how accurate analysis based deep smart computer vision algorithms a reliable input for evaluation ultimately scoring function. Furthermore, suggested...
Kurzfassung Virtual Reality (VR) bietet in Branchen wie der Automobilproduktion, dem Anlagenbau, Medizintechnik oder Architektur Möglichkeiten, mit Modellen zum Zweck des Erkenntnisgewinns Kenntnisvermittlung zu interagieren. Eine wichtige Anwendung Ziel Erkenntnisgewinnung ist produzierenden Unternehmen die Planung von Anlagen und Fabriken [1]. Hingegen Nutzung VR-Modelle zur ergänzenden eher selten. Der Beitrag zeigt, inwiefern im Bereich digitalen diese Aspekte integriert werden können.
Abstract Background Floodplains are biodiversity hotspots and provide numerous ecosystem services. In recent decades, however, 70–90% of Europe's floodplains have been structurally degraded. Accordingly, many (inter-)national programs aim to restore protect floodplain ecosystems. The success such measures also depends on the chemical contamination, especially soils sediments, which serve as sinks sources for a variety pollutants. this study, we assess current ecotoxicological status...
Abstract SETAC has a long-standing history of supporting students and early career scientists in the fields ecotoxicology environmental chemistry. The Student Advisory Council (SAC) advocates for diverse interests young members offering guidance to peers serving as resounding voice aspiring dialogues with Europe Council. Founded shaped by rewarding liaison between its German Language Branch, SAC now strong international representation, being distributed all over Europe. With this...