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Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK
Automated continuous learn and improvement process of energy efficiency in manufacturing
Low-Cost Embedded Vision for Industrial Robots: A Modular End-of-Arm Concept
Networked Visual Servoing as Use-Case for Cloud-based Industrial Robot Control
Classification of Similar Objects of Different Sizes Using a Reference Object by Means of Convolutional Neural Networks
Automated Optical Inspection Using Anomaly Detection and Unsupervised Defect Clustering
PowerGrasp - Design and evaluation of a modular soft-robotic arm exosuit for industrial applications
Energy Efficiency Optimization using AutomationML modeling and an EnPI methodology
Process data based Anomaly detection in distributed energy generation using Neural Networks
System identification of a hysteresis-controlled pump system using SINDy
Development of a Fire Detection Based on the Analysis of Video Data by Means of Convolutional Neural Networks