Note: Title Page -- Preface -- Organization -- Table of Contents -- Cognition -- Vision, Logic, and Language - Toward Analyzable Encompassing Systems -- Introduction -- Treating Agent-Related Temporal Variations in 3D-Scenes at a Conceptual Level -- Characterisation of Temporal Variations in Videos with Humans -- On Scenario Representations -- On Transformations between Different Scenario Representations -- On Action-Predicates in Scenario Definitions -- The Emerging Overlap between Computer Vision, Computational Linguistics, and Formal Logic -- The `Electronic Co-Driver' - a (still) Hypothetical System -- Equivalence Classes of Scenarios? -- Manifestation vs. Instantiation -- Conclusions -- References -- A Computational Model of Human Movement Coordination -- Introduction -- Methods -- Computational Framework -- Motion Analysis -- Motion Synthesis -- Validation of Optimality Criteria -- Results -- Discussion -- References -- BiosignalsStudio: A Flexible Framework for Biosignal Capturing and Processing -- Introduction -- Motivation -- Related Work -- BiosignalsStudio -- Architecture -- Available Modules -- Applications -- References -- Local Adaptive Extraction of References -- Introduction -- Method -- Transformation-Based Information Extraction -- Basic Idea of Local Adaptivity -- Implementation -- Example -- Experimental Study -- Performance Measures -- Datasets -- Experimental Results -- Related Work -- Conclusions -- References -- Logic-Based Trajectory Evaluation in Videos -- Introduction -- Related Work -- 3D-GT and Its Association with Tracking Results -- Logic-Based Evaluation Process -- Results and Concluding Discussion -- References -- Human-Machine Interaction -- A Testbed for Adaptive Human-Robot Collaboration -- Motivation -- Simulation-Based Robot Development -- Related Work -- The Simulator -- User Study -- Conclusion -- References. , Human Head Pose Estimation Using Multi-appearance Features -- Introduction -- State of the Art -- Head Pose Estimation -- Multi-appearance Feature Model -- Extending the Standard SoftPOSIT Algorithm -- Experiments -- Conclusion -- References -- Online Full Body Human Motion Tracking Based on Dense Volumetric 3D Reconstructions from Multi Camera Setups -- Introduction -- Contribution -- Fore-/Background Segmentation -- Dense Voxel Based 3d Reconstruction -- Online Full Body Human Motion Tracking -- Evaluation -- CPU versus GPU Based Segmentation -- Full Body Motion Tracking: 8 Cameras (offline) -- Full Body Motion Tracking: 3 Cameras (Online) -- Conclusion -- References -- On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms -- Introduction -- Pre-considerations -- Distances -- k-Nearest Neighbors -- Support Vector Machine -- Kernels -- Practical Considerations -- Parallel k-Nearest Neighbors -- GPU kNN -- Parallel SVM -- Classifier as a Web service -- Experiments -- Conclusion -- References -- Planning Cooperative Motions of Cognitive Automobiles Using Tree Search Algorithms -- Introduction -- Tree Search Formulation of Cooperative Motion Planning -- Reuse of Computed Information -- Precomputing Lower Bounds -- Search Strategies -- Results -- Conclusions -- References -- Static Preference Models for Options with Dynamic Extent -- Introduction -- Preference Modeling -- Formalizing Preferences -- Preference Elicitation -- Preference Models -- Performance Measures for Preference Models -- Evaluation of Static Preference Models in Static and Dynamic Domains -- TV Program Recommender-A Domain with Static Options -- Tour Planner-A Domain with Dynamic Options -- Conclusions -- References -- Towards User Assistance for Documents via Interactional Semantic Technology -- Introduction -- State of the Art -- Semantic Interaction. , Revisiting SACHS as User Assistance for Documentsvia Interactional Semantic Technology -- Conclusion and Future Work -- References -- Knowledge -- Flexible Concept-Based Argumentation in Dynamic Scenes -- Introduction -- System Overview -- Semantic Description of Dialectic Structures -- Concept-Based Argumentation -- Interpretation of Actions in the Soccer Domain -- Conclusions -- References -- Focused Belief Revision as a Model of Fallible Relevance-Sensitive Perception -- Introduction -- From Sensing to Believing -- Focused Belief Revision -- Origins of Focus -- Conclusion -- References -- Multi-context Systems with Activation Rules -- Introduction -- MCS with Activation Rules -- Computing Equilibria of ARMCS -- Example: ARMCS in Practice -- Conclusion -- References -- Pellet-HeaRT - Proposal of an Architecture for Ontology Systems with Rules -- Introduction -- Motivation -- HeaRT Rule Engine -- Pellet and HeaRT Integration Proposal -- Example Case -- Evaluation and Related Research -- Conclusions and Future Work -- References -- Putting People's Common Sense into Knowledge Bases of Household Robots -- Introduction -- Related Work -- System Overview -- Formalizing the Knowledge in OMICS -- Natural Language Processing -- Word Sense Resolution -- Integration into the Robot's Knowledge Base -- Applications -- Discussion and Conclusions -- References -- Recognition and Visualization of Music Sequences Using Self-organizing Feature Maps -- Introduction -- Related Work -- Feature Quantization with Self-organizing Maps -- Short Introduction to SOMs -- Features and ``Symbolification'' -- Visualization of Sequence Segmentation -- Approach -- Experimental Results -- Motif Recognition -- Approach -- Experimental Results -- Conclusions -- References -- Searching for Locomotion Patterns that Suffer from Imprecise Details -- Introduction. , The Search for Locomotion Patterns of Cancer Cells -- Application Scenario -- Imprecise Movement Data -- Cell Representations -- A Locomotion Calculus -- Movement Calculus BA23 -- Searching for Patterns -- Generate and Test -- Enforcing Local Consistency -- A Matching Pattern -- Constraint Relaxation -- The Dealing with Imprecise Movement Data -- Conclusions -- References -- World Modeling for Autonomous Systems -- Introduction -- Three Pillar Information Architecture -- Information Management -- Realization -- Conclusions -- References -- Machine Learning and Data Mining -- A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs -- Introduction -- A Probabilistic MajorClust Variant -- State of the Art -- Empirical Analysis -- Theoretical Analysis -- General Definitions -- Behavior Analysis -- Summary and Future Work -- References -- Acceleration of DBSCAN-Based Clustering with Reduced Neighborhood Evaluations -- Introduction -- Related Work -- Completeness of Clustering Result -- Rescan of Noisy Data Points for Merging -- Chebyshev Metric -- Changeable Order -- Efficient Merging -- Handling Noise -- Experimental Evaluation -- Runtime -- Comparison on UCI Repository Data -- Conclusions -- References -- Adaptive ε-Greedy Exploration in Reinforcement Learning Based on Value -- Introduction -- Related Work -- Methodology -- Learning the Q Function -- Exploration/Exploitation Strategies -- ε-Greedy VDBE-Boltzmann -- Experiments and Results -- Experiment Setup -- Results -- Discussion and Conclusion -- References -- Learning the Importance of Latent Topics to Discover Highly Influential News Items -- Introduction -- Related Work -- Importance Prediction of News Articles -- Features for Importance Prediction -- Importance Prediction from Language Features -- Importance Prediction from Latent Features. , Predicting Importance Using SVMs -- Experimental Results -- Two-Class Classification -- Regression Setup -- LDA Topics -- Conclusions and Future Work -- References -- Methods for Automated High-Throughput Toxicity Testing Using Zebrafish Embryos -- Introduction -- Material and Methods -- Overview -- Biological Assay and Image Acquisition -- Graphical User Interface -- Image Processing and Classification -- Derivation of Dose-Response Relationships -- Results -- Outlook -- References -- Visualizing Dissimilarity Data Using Generative Topographic Mapping -- Introduction -- Generative Topographic Mapping -- Relational GTM -- Experiments -- Discussion -- References -- Planing and Reasoning -- An Empirical Comparison of Some Multiobjective Graph Search Algorithms -- Introduction -- Algorithms MOA* and NAMOA* -- Experimental Setup -- Results -- Analysis -- Class I Problems -- Class II Problems -- Conclusions and Future Work -- References -- Completeness for Generalized First-Order LTL -- Introduction -- Sequent Calculus and Cut-Elimination -- Semantics and Completeness -- References -- Instantiating General Games Using Prolog or Dependency Graphs -- Introduction -- The Game Description Language GDL -- Instantiation Process -- Calculating Supersets of Reachable State Atoms, Moves and Axioms -- Instantiating Formulas -- Finding Mutex Groups -- Experimental Results -- Conclusion and Future Work -- References -- Plan Assessment for Autonomous Manufacturing as Bayesian Inference -- Introduction -- Plan Assessment with Predicted System Behaviors -- A Bayesian Logic Network Model of Manufacturing Scenarios -- Computing Confidence Intervals for Plan Success Probabilities -- Experimental Results -- Conclusion and Future Work -- References -- Positions, Regions, and Clusters: Strata of Granularity in Location Modelling -- Introduction -- Related Works. , Scale-Dependent Positions, Regions, and Clusters.

Note: Intro -- Preface -- Table of Contents -- Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks -- 1 Introduction -- 1.1 Key Terms of Knowledge-Based Maintenance -- 1.1 Key Terms of Knowledge-Based Maintenance -- 1.2 State-of-the-Art - Knowledge-Driven and Integrated Approaches -- 1.3 Research Project of Maintenance 4.0 and Beyond -- 2 Prescriptive Maintenance Model (PriMa) -- 3 Methodology for Integrating Multimodal Data with Dynamic Bayesian Network -- 4 Conclusion and Future Research Agenda -- Acknowledgement -- References -- Evaluation of Deep Autoencoders for Prediction of Adjustment Points in the Mass Production of Sensors -- 1 Introduction -- 2 Material and Methods -- 2.1 Use Case -- 2.2 Deep Autoencoder -- 2.3 Support vector regression -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Differential Evolution in Production Process Optimization of Cyber Physical Systems -- 1 Introduction -- 2 Related Work and Contribution -- 3 Process Optimization with Differential Evolution -- 3.1 Operating Principle of Differential Evolution -- 3.2 Modification for Machine Optimization -- 4 Evaluation -- 5 Continuous Optimization -- 6 Conclusion and Future Work -- References -- Machine Learning for Process-X: A Taxonomy -- 1 Introduction -- 2 Definition of Process-X -- 3 Machine Learning for Process-X -- 4 Taxonomy of Process-X Approaches -- 5 Conclusion -- References -- Intelligent edge processing -- 1 Introduction -- 2 Our approach for intelligent edge processing -- 3 Role of semantics -- 4 Use case -- 5 Related work -- 6 Conclusion -- References -- Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. -- 1 Introduction -- 2 State of the Art -- 3 Approach -- 3.1 Information Extraction -- 3.2 Classification of Information -- 3.3 Reasoning -- 4 Results -- 5 Conclusion. , Acknowledgment -- References -- Semi-supervised Case-based Reasoning Approach to Alarm Flood Analysis -- 1 Introduction -- 2 Preliminaries -- 2.1 Alarm floods in CPSs -- 2.2 Semi-supervised Machine Learning Methods -- 3 Case-based Approach for Root Cause Classification -- 3.1 Step 1: Offline Learning -- 3.2 Step 2: Online Root Cause Classification -- 4 Experimental setup -- 4.1 Distance Measure and Flood Representation -- 4.2 Offline Learning -- 4.3 Simulation of Online Root Cause Classification -- 4.4 Assessing the results -- 5 Results -- 6 Conclusions -- 7 Acknowledgement -- References -- Verstehen von Maschinenverhalten mit Hilfe von Machine Learning -- 1 Einleitung -- 2 Unüberwachte strukturerkennende Analyse mithilfe Selbstorganisierender Karten -- 2.1 Selbstorganisierende Karten -- 2.2 Anwendung und Analyse der SOMs -- 3 Zeitreihenanalyse bei unbeobachtbaren Zuständen -- 3.1 Markov-Switching Modell -- 3.2 Analyse Modellsch¨atzung -- 4 Fazit -- Literatur -- Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures -- 1 Motivation and Application Areas -- 2 Industrial Analytics Workflow -- 3 Topology Variants for the Realization of Industrial Analytics -- 4 Realization Variants at the Device Level -- 5 Experimental Results with k-NN and SVM -- 6 Conclusion -- References -- The Acoustic Test System for Transmissions in the VW Group From Micrometers to Decibels: Using Real-Time Vibration Analysis and Machine-Learning -- Overview -- Introduction -- Challenges of Transformation -- New Demands -- How to Support the Production Effectively? -- Architecture of the Noise Analysis System -- Real-Time Data Analysis -- Automatic Evaluation -- Generation of Limits -- Result Databases for Large Production Volumes -- Verifying Limit Settings by Vehicle Correlation.

Note: Intro -- Preface -- Table of Contents -- A Concept for the Application of Reinforcement Learning in the Optimization of CAM-Generated Tool Paths -- 1 Introduction -- 2 Effects of Non-Optimal CAM-generated Tool Paths -- 3 Related Work -- 4 Tool Path Optimization with Reinforcement Learning via the Channel Method -- 5 Reward Function for Tool Path Optimization -- 5.1 The Reward function -- 5.2 Application of the reward function -- 5.3 Results -- 6 Conclusion -- References -- Semantic Stream Processing in Dynamic Environments Using Dynamic Stream Selection -- 1 Motivation -- 2 Background and Related Work -- 3 Design of ECQELS -- 4 Implementation of ECQELS -- 5 Evaluation -- 5.1 Benchmark Design and Runtime Environment -- 5.2 Results and Analysis -- 6 Conclusion & -- Future Work -- References -- Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment -- 1 Introduction -- 2 Methodology -- 2.1 Image Sequence Preprocessing and Feature Subset Selection -- 2.2 Dynamic Bayesian Networks and Structure Learning -- 2.3 Anomaly Score, Normality Threshold and Classification -- 3 Experiments -- 3.1 Data Description -- 3.2 Classification System Experimental Setup -- 3.3 Results -- 4 Discussion -- 5 Conclusion -- References -- A Modular Architecture for Smart Data Analysis using AutomationML, OPC-UA and Data-driven Algorithms -- 1 Einleitung und Motivation -- 2 Architektur -- 3 Produktionsanlagenmodellierung (AutomationML) -- 3.1 Generierung von Prozessbildern auf Basis von AML -- 3.2 Übergang in Online-Modell mit UA -- 4 Anbindung an den Produktionsprozess (OPC UA) -- 5 Plattform -- 5.1 Bildgenerierung -- 5.2 Datengetriebene Prozessüberwachung -- 6 Anwendungsbeispiel Wasserqualitätsanalyse -- 6.1 AutomationML-Modell -- 6.2 Prozessbild-Generierung -- 6.3 Auswertung -- 7 Zusammenfassung und Ausblick. , References -- Cloud-based event detection platform for water distribution networks using machine-learning algorithms -- 1 Introduction -- 2 Architecture of the event detection and report generation platform -- 2.1 Data storage -- 2.2 Event detection -- 2.3 Report generation -- 3 Use-Case: Strasbourg distribution network -- 4 Conclusion and future work -- Acknowledgements -- References -- A Generic Data Fusion and Analysis Platform for Cyber-Physical Systems -- 1 Introduction -- 2 Platform Architecture -- 2.1 Platform Core -- 2.2 Plugins -- 2.3 Web client -- 3 Component intercommunication -- 4 Use Case: Monitoring of an I4.0 testbed -- 4.1 Rule-based Tracking of bottles -- 4.2 Data-driven monitoring -- 5 Conclusion and future work -- References -- Agent Swarm Optimization: Exploding the search space -- 1 Introduction -- 2 Agent Swarm Optimization -- 3 Multi-objective approach -- 4 Extending rule based agents -- 5 Applications -- 6 Conclusions -- References -- Anomaly Detection in Industrial Networks using Machine Learning: A Roadmap -- 1 Introduction -- 2 Cybersecurity in Industrial Networks -- 3 Anomaly Detection in Industrial Networks -- 4 Roadmap -- 4.1 Network Traffic Generation -- 4.2 Adaptive Hybrid Analysis -- 4.3 Alarm Correlation -- 5 Conclusion -- References.

Note: Intro -- Title Page -- Copyright Page -- Vorwort -- Inhaltsverzeichnis -- Advanced Data Logging in RoboCup -- 1 Introduction -- 2 Related Work -- 3 Shared World Model -- 4 Camera Framework and PTU -- 4.1 Observer -- 4.2 Rendering Framework -- 5 Camera Pose Framework -- 5.1 Camera Pose Calculation -- 6 Summary and Future Work -- References -- Data Association for Visual Multi-target Tracking Under Splits, Merges and Occlusions -- 1 Introduction -- 2 Overall System Description -- 3 Time Forward Prediction -- 4 Data Association Between Detections and Tracks -- 5 Handling of Split and Merge Effects and Reconstruction of Compatible Object Measurements -- 5.1 Determination of the Point-to-Track Affiliation Probabilities -- 5.2 Point Cloud Based Reconstruction of the Track's Position and Orientation -- 5.3 Grid-Based Reconstruction of the Track's Extent -- 6 State, Existence and Observability Innovation -- 7 Experimental Results -- 8 Conclusion -- References -- Fusing LIDAR and Vision for Autonomous Dirt Road Following - Incorporating a Visual Feature into the Tentacles Approach -- 1 Introduction -- 2 Driving with Tentacles -- 2.1 Tentacle Evaluation and Selection -- 3 Evaluating Tentacles by Visual Appearances -- 3.1 Perspective Mapping and Gaze Control -- 3.2 Determine Visual Quality -- 4 Rating Tentacles by Color Intensity Feature -- 5 Results and Conclusions -- 6 Acknowledgements -- References -- Improved Time-to-Contact Estimation by Using Information from Image Sequences -- 1 Introduction -- 2 Time-to-Contact Calculation -- 2.1 Theory of Time-to-Contact Calculation -- 2.2 TTC Estimation Using Model Equations -- 3 Adaptive Parameter Estimation and Its Effect -- 3.1 Iterative Parameter Estimation -- 3.2 Results of the Proposed Estimation Procedure -- 4 Extension of the Approach to General Movements -- 4.1 Forward Movement with Changing Velocity. , 4.2 Simple Rotational Movement -- 4.3 Cornering -- 4.4 Results -- 5 Conclusions -- References -- Monocular Obstacle Detection for Real-World Environments -- 1 Introduction and RelatedWork -- 2 Monocular Scene Reconstruction -- 2.1 State Representation -- 2.2 Feature Tracking -- 2.3 Descriptor Update -- 2.4 Feature Initialization -- 3 Obstacle Detection -- 4 Results -- 5 Conclusion and Future Work -- References -- Stereo-Based vs. Monocular 6-DoF Pose Estimation Using Point Features: A Quantitative Comparison -- 1 Introduction -- 2 Accuracy Considerations -- 3 6-DoF Pose Estimation -- 4 Experimental Evaluation -- 5 Discussion and Outlook -- Acknowledgment -- References -- Probabilistisches Belegtheitsfilter zur Schätzungdynamischer Umgebungen unter Verwendung multipler Bewegungsmodelle -- 1 Einleitung -- 2 Probabilistische Belegheitsfilterung mit Gruppen -- 2.1 Zellfeldrepräsentation -- 2.2 Dekomposition der Verbundwahrscheinlichkeit -- 2.3 Modellierung der Gruppen -- 2.4 Berechnung der Filtergleichungen -- 3 Evaluierung -- 4 Zusammenfassung und Ausblick -- 5 Danksagung -- Literaturverzeichnis -- A Computational Model of Human Table Tennis for Robot Application -- 1 Introduction -- 1.1 What Can We Learn from Human Table Tennis? -- 1.2 A Review of Robot Table Tennis -- 2 Modelling Human Table Tennis -- 2.1 Movement Phases -- 2.2 Movement Primitive Selection and Parametrization -- 2.3 Movement Generation -- 3 Computational Realization of the Model -- 3.1 Overview -- 3.2 Determining the Goal Parameters -- 3.3 Trajectory Generation -- 4 Evaluations -- 4.1 Simulated Setup -- 4.2 Performance of the Model -- 5 Conclusion -- References -- A Vision-Based Trajectory Controller for Autonomous Cleaning Robots -- 1 Introduction -- 2 Biologically Inspired Visual Navigation -- 2.1 Local Visual Homing -- 2.2 Topological Navigation -- 3 Trajectory Controller. , 4 Experiments -- 4.1 Setup -- 4.2 Results -- 5 Summary and Outlook -- References -- Automatic Take Off, Hovering and Landing Control for Miniature Helicopters with Low-Cost Onboard Hardware -- 1 Introduction -- 2 Features of the Wii Remote Infrared Camera -- 3 The UAV System -- 4 Retrieving the Pose by Means of Camera and IMU -- 4.1 Pattern Analysis -- 5 Flight Control -- 5.1 Height Controller -- 5.2 Roll/Pitch and Yaw Controller -- 6 Experimental Results -- 7 Conclusion and Future Work -- References -- Foot Function in Spring Mass Running -- 1 Introduction -- 2 Methods -- 2.1 Spring-Mass-Model with Foot-Segment -- 2.2 Analyzing Periodic Solutions -- 2.3 Dimensionless Ankle Stiffness -- 3 Results -- 4 Discussion -- 4.1 Leg Stiffness Modulation -- 4.2 Leg Lengthening -- 4.3 Shortcommings of the Model -- References -- From Walking to Running -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- Acknowledgments -- References -- Generisches Verfahren zur präzisen Pfadverfolgung für Serienfahrzeuggespanne -- 1 Einleitung -- 2 Stand der Technik -- 3 Kinematisches Modell -- 4 Das zweistufige Regelungsverfahren -- 4.1 Bestimmung des Soll-Radius -- 4.2 Bestimmung des Soll-Lenkwinkels -- 5 Evaluierung des Verfahrens -- 6 Zusammenfassung -- Literaturverzeichnis -- Learning New Basic Movements for Robotics -- 1 Introduction -- 2 Learning Methods for Motor Primitives -- 2.1 Imitation Learning for Dynamical Motor Primitives -- 2.2 Reinforcement Learning with PoWER -- 3 Robot Evaluation -- 3.1 Discrete Movement: Ball-in-a-Cup -- 3.2 Rhythmic Movement with Start-up Phase: Ball-Paddling -- 4 Conclusion -- References -- Nonlinear Landing Control for Quadrotor UAVs -- 1 Introduction -- 2 The Vehicle Control System -- 3 Automatic Landing on a Mobile Platform -- 3.1 Altitude Control -- 3.2 Nonlinear 2D-Tracking Controller -- 4 Simulation and Experimental Results. , 5 Conclusion and Future Works -- 6 References -- Oscillation Analysis in Behavior-Based Robot Architectures -- 1 Introduction -- 2 Development Framework -- 3 Oscillation Analysis -- 4 Application and Results -- 5 Conclusion and Future Work -- Acknowledgments -- References -- Variable Joint Elasticities in Running -- 1 Introduction -- 2 Materials and Methods -- 2.1 Experimental Data -- 2.2 Dynamic Joint Stiffness Analysis -- 3 Results -- 4 Discussion -- Acknowledgements -- References -- 3D-Partikelfilter SLAM -- 1 Einleitung -- 2 Das partikelfilterbasierte SLAM Verfahren -- 2.1 Ziehen neuer Positionen -- 2.2 Gewichtung der Partikel -- 2.3 Resampling -- 3 Reduktion des Speicherplatzes -- 4 Experimentelle Ergebnisse und Evaluation -- 5 Schlussfolgerung und Ausblick -- Literaturverzeichnis -- Absolute High-Precision Localisation of an Unmanned Ground Vehicle by Using Real-Time Aerial Video Imagery for Geo-referenced Orthophoto Registration -- 1 Introduction -- 2 Robotic Platforms -- 3 Cooperative UGV/UAV Localisation -- 3.1 Video Tracking of UGV -- 3.2 Pitch and Roll Compensation -- 3.3 Orthophoto Registration -- 4 Results -- 5 Conclusion -- References -- An Improved Sensor Model on Appearance Based SLAM -- 1 Introduction -- 2 Appearance-Based SLAM Approach with RBPF -- 2.1 RBPF with Local and Global Graph Models -- 2.2 Graph Matching -- 2.3 Adaptive Sensor Model -- 2.4 Dynamic Changes -- 3 Experiments and Results -- 4 Conclusion and Future Work -- References -- Monte Carlo Lokalisierung FahrerloserTransportfahrzeuge mit drahtlosen Sensornetzwerken -- 1 Einf¨uhrung -- 2 Funklokalisierung -- 2.1 Stand der Technik -- 2.2 Funklokalisierung mit dem nanoLOC System -- 3 Monte Carlo Funklokalisierung -- 3.1 Anfangsverteilung der Partikel -- 3.2 Sensormodell der Distanzmessung -- 3.3 Experimentelle Ergebnisse -- 4 Zusammenfassung -- Literaturverzeichnis. , Using a Physics Engine to Improve Probabilistic Object Localization -- 1 Introduction -- 2 State of the Art -- 3 Theoretical Concept -- 3.1 Rule Set Joint State Update -- 4 Implementation of the Proposed System -- 4.1 Probabilistic Models -- 4.2 The Trigger Function -- 4.3 Implementation of the Rule Set Joint State Update -- 4.4 The Physical Model: Bullet Physic Engine -- 5 Experimental Results -- 6 Conclusions and Future Works -- Acknowledgment -- References -- Visual Self-Localization with Tiny Images -- 1 Introduction -- 2 Related Work -- 3 Robots -- 4 Global Image Features -- 4.1 Weighted Gradient Orientation Histograms -- 4.2 Weighted Grid Integral Invariants -- 4.3 Color/Grayscale Grid Histograms -- 4.4 Pixelwise Image Comparison -- 5 Localization Process -- 6 Experimental Results -- 7 Conclusion -- References -- Coordinated Path Following for Mobile Robots -- 1 Introduction -- 2 Problem Statement -- 3 Controller Design -- 4 Results -- 4.1 Simulations -- 4.2 Real-World Experiments -- 5 Conclusions and Future Work -- References -- Kooperative Bewegungsplanung zur Unfallvermeidung im Straßenverkehr mit der Methode der elastischen Bänder -- 1 Einleitung -- 2 Anwendungsszenario -- 3 Kooperative Bewegungsplanung -- 3.1 Problemstellung -- 3.2 Ansätze aus der Robotik -- 4 Die Methode der elastischen Bänder -- 4.1 Grundlagen -- 4.2 Modellierung der Kräfte -- 4.3 Numerische Kräfteminimierung -- 4.4 Interpolation der Bewegung -- 5 Simulationsergebnisse -- 6 Fazit und Ausblick -- Danksagung -- Literaturverzeichnis -- Perception of Environment Properties Relevant for Off-road Navigation -- 1 Introduction -- 2 Controlling Properties of the Environment -- 2.1 Positve Obstacles -- 2.2 Negative Obstacles, Water and Ground -- 3 Representation and Navigation Strategy -- 4 Classification Methods Realized on Ravon -- 5 Conclusion and Future Work. , Acknowledgements.

Note: Intro -- Preface -- Contents -- Development of a Cyber-Physical System based on selective Gaussian naϊve Bayes model for a self-predict laser surface heat treatment process control -- 1 Introduction -- 2 Methodology -- 2.1 Laser Heat Treatment Data Acquisition -- 2.2 Machine Learning Experimental Setup -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks -- 1 Introduction -- 2 Evidence Grid Map Algorithm -- 3 Mixture of Experts -- 4 Evaluation -- 5 Summary -- References -- Forecasting Cellular Connectivity for Cyber-Physical Systems: A Machine Learning Approach -- 1 Introduction -- 2 Related Work -- 3 Predictive Channel-Aware Transmission (pCAT) based on Data Mining -- 4 Methods for Performance Evaluation -- 5 Results -- 6 Conclusion -- Acknowledgement -- References -- Towards Optimized Machine Operations by Cloud Integrated Condition Estimation -- 1 Introduction -- 2 State of the Art -- 3 Use Case: Tubular Bag Machine -- 4 Approach of an Intelligent Condition Monitoring -- 4.1 Systems Engineering and Resuiting Models -- 4.2 State Estimation -- 5 Cloud Integration -- 6 Conclusion and Outlook -- 7 Acknowledgement -- 8 References -- Prognostics Health Management System based on Hybrid Model to Predict Failures of a Planetary Gear Transmission -- 1 Introduction -- 2 Background -- 3 Physical-based Models -- 3.1 Metal-Metal Contact Model -- 3.2 Gear Fatigue Model -- 4 Prognostics Health Management System -- 5 Future improvements: Hybrid model approach -- 5.1 Parameter estimator -- 5.2 Machine learning approach -- 5.3 Data fusion -- 6 Conclusions -- 7 Acknowledgements -- References -- Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases -- 1 Introduction -- 2 Model-based condition monitoring. , 2.1 HMM-based condition monitoring -- 2.2 PCA-baaed condition monitoring -- 3 Evaluation in industrial application cases -- 3.1 Wind power station -- 3.2 Glue production plant -- 4 Conclusion -- References -- Towards a novel learning assistant for networked automation systems -- 1 Introduction and Motivation -- 2 State of The Art -- 3 Idea of the Learning Assistant -- 4 Realization of a Learning Assistant with an Application Scenario -- 5 Conclusion -- Reference -- Efficient Image Processing System for an Industrial Machine Learning Task -- 1 Introduction -- 2 Approach -- 2.1 Image Processing -- 2.2 Expansion Measure -- 3 Classifier Evaluation -- 4 Conclusion and Outlook -- References -- Efficient engineering in special purpose machinery through automated control code synthesis based on a functional categorisation -- 1 Introduction -- 2 Analysis -- 3 Requirements and state of the art -- 4 Categorisation of capabilities and process functions -- 4.1 Basic concept for the categorisation -- 4.2 Categorisation of process functions -- 4.3 Categorisation of capabilities -- 5 Synthesis -- 6 Conclusion -- References -- Kognitive Architektur zum Konzeptlernen in technischen Systemen -- 1 Einleitung -- 2 Kognitive Architektur zur Diagnose technischer Systeme -- 2.1 Sprachverarbeitung -- 2.2 Zentrale Ausführungseinheit -- 2.3 Maschinelles Lernen -- 2.4 Konzeptlernen -- 3 Anwendungsbeispiel -- 4 Zusammenfassung -- 5 Danksagung -- References -- Implementation and Comparison of Cluster-Based PSO Extensions in Hybrid Settings with Efficient Approximation -- 1 Introduction -- 2 Formalization and Representation of the PSO Extension approach -- 2.1 System Concept -- 3 Use Cases of the Experimental Design -- 4 Results and Discussion of the Findings -- 5 Conclusion and Outlook -- References. , Machine-specific Approach for Automatic Classification of Cutting Process Efficiency -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Aquisition -- 2.2 Requirements -- 2.3 Software Development Process -- 2.4 Evolution and Modelling -- 2.5 Evaluation of the Artificial Neural Networks -- 3 Results -- 4 Conclusion and Future Works -- References -- Meta-analysis of Maintenance Knowledge Assets Towards Predictive Cost Controlling of Cyber Physical Production Systems -- 1 Introduction -- 2 Costprove Model -- 2.1 Qualitative Modeling -- 2.2 Costprove Mathematical Reference Model -- 3 Application Study of Costprove -- 4 Conclusion and Future Research Agenda -- References -- Towards Autonomously Navigating and Cooperating Vehicles in Cyber-Physical Production Systems -- 1 Introduction -- 2 State-Of-The-Art -- 3 System Architecture -- 4 Path Planning -- 5 Collision Handling -- 5.1 Collision Detection -- 5.2 Collision Resolution -- 5.3 Collision Avoidance -- 6 Discussion & -- Conclusion -- References.

Note: Literaturangaben

Note: Literaturverzeichnis: Seite 34-35

Note: In 2017, the annual joint workshop of the Fraunhofer Institute

Note: Literaturangaben , Tagungsdaten wurden dem Vorwort entnommen