Cyber-Physical Systems and Intelligent Robotics

Smart Engineering for Smart Factory

Professional Education Certificate Courses at the RWTH International Academy gGmbH

Preface

A progressive digitalisation in industrial processes and production techniques will strongly alter industries all over the world. Intelligent production environments and interconnected factory systems will be part of the new industrial revolution. Industry 4.0 has immense potential: Companies willing to accompany the digital structural change and therefore expand their service portfolio can reveal their potential in optimisation with regard to production and logistics.

In order to successfully implement Industry 4.0 into existing production environments, employees’ work and competence profiles need to be continuously expanded, both on specialist level and on management level. They need to be empowered and motivated to implement cyber-physical systems and intelligent robotics. This is important, because both operators and decision-makers are a vital part of the integration of machine and software systems into daily work routines. While operators are faced with adaption and optimisation processes, decision-makers need to develop strategies for implementation and take care of investment decisions. Each target group faces individual challenges and scopes of duties – all of which need to be addressed by means of varied qualifications in training and continuing education.

The RWTH International Academy caters to these needs by offering two certificate courses on this topic: “Fundamentals to Smart Engineering for Smart Factory” and “Cyber-Physical Systems and Intelligent Robotics”.

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Are you ready for Industry 4.0?

machine-2-machine

communication

autonomous assistance

systems3D-printing

data acquisition & management

smartification

cyber-physical systems

computational graphics

We offer different lifelong education courses to comply with your personal Industry 4.0 needs.

Pick and Mix to enjoy your personal compilation of subjects.

visual analytics in production

decentralisation & transformation

mobile robotics

industrial big data

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intelligent robotics

Robot Operating System (ROS)

in-factory logistics

embedded systems

human-robot collaboration

Lifelong Learning With Topics on Industry 4.0 Certificate Courses „Cyber-Physical Systems and Intelligent Robotics (CPS-IR)“ & „Fundamentals to Smart Engineering for Smart Factory“

Target Group & Course Outline

The certificate course „Cyber-Physical Systems and Intelligent Robotics (CPS-IR)“ provides methodical (a syste-matic toolbox of concepts and approaches) and technological (knowledge and implementation solutions) skills. Furthermore, participants will learn how to identify application areas of CPS as well as robotics in their company and how to encounter technological challenges with suitable methods.

The advancement of digitalisation and the widespread networking of devices and systems open new automation and optimisation potentials. Terms like Cyber-Physical Systems (CPS) address technologies and concepts to realise the next generation of net-worked sensing capabilities and data propagation. For the indust-rial domain, these terms have been further specialised (e. g. cyber physical production systems). Thereby, the changes are characterised by manufacturing entities that are, on all levels, autonomous, in the sense that they incorporate planning systems and adjust themselves in response to changing environments.

„Fundamentals to Smart Engineering for Smart Factory“

This course is suitable and highly recommended for mechanical or electrical engineers (at least bachelor level) who actively participate by contributing experiences from their daily work. Participants wishing to complete one of the CPS-IR levels can also choose this course as one of the advanced modules.

This course is highly suitable for professionals who want to utilise the new possibilities enabled by the ongoing research on cyber-physical systems and intelligent robotics. The programme is therefore comprised of different modules covering particular aspects of CPS and intelligent robotics.

Course Profile• Study format: certificate course• Date: 08/05 – 12/05/2017• Prerequisites: mechanical or electrical engineers

(at least bachelor level)• Teaching: Dipl.-Ing. Markus Obdenbusch,

Chief Engineer; Prof. Dr. Ing. Christian Brecher • Credit points: 2 ECTS• Course fees: 3,600 €• Qualification: RWTH Executive Certificate• Language: English

Course Profile

• Study format: certificate course, 3 different levels• Date: from 24/04/2017 with differing lengths

(cf. the following pages of this booklet)• Prerequisites: Bachelor of Science/Bachelor of

Engineering, professional experience of minimum 1 year• Teaching: Prof. Dr.-Ing. Meisen, Dr.-Ing. Sebastian Reuter• Credit points: ranging from 2 to 15 ECTS• Course fees: 3,600 € (single course), 10,800 €

(advanced certificate course, which is a bundle of 4 single courses), 18,000 € (expert certificate course, combining 4 single courses, a field project and a case study)

• Qualification: RWTH Certificates (Executive, Advanced, Expert)• Language: English

„Cyber-Physical Systems and Intelligent Robotics (CPS-IR)“

Please check the following pages of this booklet to learn more about the different modules, which can be attended both as individual courses as well as combined to complete one of our CPS-IR levels.

Course Contents

The certificate course „Fundamentals to Smart Engineering for Smart Factory“ enables participants to learn the necessary steps to put into practice a complete digital chain of planning – ranging from the product to a completed production process and beyond. Apart from classic topics like PLM (Product Lifecycle Management), the potential of frontloading is demonstrated by means of examples, i.e. from assembly technique. Various basics from the engineering science sector related to the challenges of the next fully digitalised production are conveyed with a focus on engineering. Theory will then be applied to participant-specific challenges with regard to digitalisation of production.

Due to variable product families and constantly decreasing product life cycles, previous methods to implement machines, facilities and processes and operating machines cease to be economic. Rather, an increased front-loading – meaning a deferral of efforts into engineering – must take place in the future. Forti-fication of digital assembly groups with metadata, virtual figures of facilities and machines as well as methods of simultaneous process protection bear great potential.

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Communication in Modern Production Systems

What to expectIn this foundation course semantic modelling in different application areas and middleware solutions that allow data centred communication in dynamic dis-tributed systems will be exemplified. As a conclusion, you will implement an integrated solution on real hardware.

Course Profile

04/09/ - 08/09/201750 hours3,600 €RWTH Executive Certificate/2 ECTSProf. Dr.-Ing. Tobias Meisen, Dr.-Ing., Sebastian Reuter, Dipl.-Ing. Max Hoffmann MBA, Dipl.-Ing. Thomas Thiele, Philipp Ennen M.Sc.

Duration: Workload: Fees: Qualification:Teaching:

Learning Objective This foundation course enables you to implement CPS and intelligent robots based on the concept of microservices and a modern communication middleware. As a result you will be able to interconnect these systems and form interactive infor-mation networks.

Course Schedule - Foundation Module

This course offers practical units and an overview on the basic communication technologies in modern production facili-ties and a survey on common theoretical concepts as well as corresponding technologies that implement the concepts – like OPC UA, DDS and RabbitMQ.

What to expectThis course serves as an introduction to technical requirements and challenges for the digitalisation of production, providing technical and engineering-based approa-ches and concepts for implementation.

Course Profile

tbd50 hours3,600 €RWTH Executive Certificate/2 ECTSDipl.-Ing. Markus Obdenbusch; Prof. Dr. Ing. Christian Brecher, Chief EngineerDipl.-Ing. Thomas Thiele, Philipp Ennen M.Sc.

Duration: Workload: Fees: Qualification:Teaching:

Learning Objective In this certificate course you will learn the necessary steps to put into practice a complete digital chain of planning – ranging from the product to a completed production process and beyond. Apart from classic topics like PLM (Product Lifecycle Management), the potential of frontloading is demonstrated by means of examples, i.e. from assembly technique.

Examination

Various basics from the engineering science sector related to the challenges of the next fully digitalised production are conveyed with a focus on engineering. Theory will then be applied to participant-specific challenges in regards to digitalisation of production.

Fundamentals to Smart Engineering for Smart FactoryCourse Schedule - Foundation Module

Introduction to communication networks in modern production systems (intra-device / device-2-device / machine-2-machine / machine-2-application / intra-factory)

Day 1

Introduction to Industry 4.0Enabling technologies for Industry 4.0Challenge of consistent information flows - from engineering to productionInnovative human machine inter-faces (production planning, operation ...)

Day 1 // Introduction I

Making information explicit using ontology-based modelling

Day 4

Introduction to communication networks in modern production systems (intra-device / device-2-device / machine-2-machine / machine-2-application / intra-factory)From intra-device to inter-machine communication using DDS Modern robotics using microservices in ROS

Day 4 // Communication in Modern Production Systems I

Machine-2-machine communication using OPC UA Bringing it all together - holistic communication

Examination

Day 5

Making information explicit using ontology-based modellingMachine-2-machine communication using OPC UA Bringing it all together - holistic communication

Examination

Day 5 // Communication in Modern Production Systems II

From intra-device to inter-machine communication using DDS

Day 2

Enterprise Resource Planning (ERP) and Manufacturing Execution System (MES)New control paradigms for future production systemsSmart automation labCase Study: Industry 4.0 Optimization of exemplary production side

Day 2 // Introduction II

Modern robotics using microservices in ROS

Day 3

Introduction to Product Lifecycle Management (PLM) //Software architectures and development processes //Data modelling and database systems // Robot based assembly and product lifecycle management (PLM), integrated, collaborative Robotics // Making information explicit using ontology-based modelling // Machine-2-machine communication using open platform communications (OPC), Unified architecture (OPC UA) // Bringing it all together - holistic communication

Day 3 // Product Lifecycle Management

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What to expectTo support humans in CPS and robotic environments, data derived from these systems can be used as decision support. This advanced course covers the mo-delling of expert systems and introduces machine learning as a way to deal with the rising complexity in CPS and robotic environments.

Course Profile

25/09 – 29/09/201750 hours3,600 €RWTH Executive Certificate/2 ECTSProf. Tobias Meisen, Dipl.-Ing. Thomas Thiele,Dr.-Ing. Sebastian Reuter, Philipp Ennen M.Sc.,Sebastian Schönitz, M.Sc., Christoph Henke

Duration: Workload: Fees: Qualification:Teaching:

automatically derive guidance. As participant you will understand how decision making and expert systems work and how they can be used in productive environments. Furthermore, you will get to know how modern concepts of machine learning can be used to develop intelligent and self-optimising systems.

Learning Objective The increasing complexity within the decentral organisation of production plants which are capable of industry 4.0 neces-sitates assistance systems for humans who fulfill their respective roles within ma-nufacturing. One approach is the integra-tion of intelligent systems which as expert systems or via machine learning analyse production data and thereby

Decision Making Using Expert-Systems and Machine LearningCourse Schedule - Advanced Module

Data representation & pre-processing

Day 1

Use Case Implementation: Decision support via machine learning IAppliance of machine learning on real time production data

Day 4

Use Case Implementation: Decision support via machine learning IIHuman decision support: Modelling of results

Examination

Day 5

Transforming data into information: Heuristics & rule-based systems

Day 2

Transforming data into information: Machine Learning application design

Day 3

Industrial Big Data: Concepts and architectures

Day 1

Data analytics on production dataVisual analytics in production

Day 4

Visual analytics in production

Examination

Day 5

Integration of CPS data sources (towards Industrial IoT)

Day 2

Integration of CPS data sources (towards Industrial IoT)Data analytics on production data

Day 3

What to expectIn this advanced course you will practice theoretical knowledge on a real produc- tion data set. You will learn how to interpret the structure and how to derive insights as part of the analysis.

Course Profile

18/09 - 22/09/201750 hours3,600 €RWTH Executive Certificate/2 ECTSProf. Tobias Meisen, Dipl.-Ing. Thomas Thiele

Duration: Workload: Fees: Qualification:Teaching:

Learning Objective A holistic communication enables infor-mation exchange and allows data to be gathered and stored. But how can this be achieved? This module aims at giving answers to this question. As participant you will deepen your knowledge in data consolidation and learn to use modern technologies to store and to analyse data.

The analysis of data derived from CPS is the main topic of this module. As an intro-duction to industrial (big) data, architec- tures for data acquisition, integration and analysis will be presented.

Course Schedule - Advanced Module

Integrating, Mining and Analysing Data for Production Systems

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Course Profile

23/10 – 27/10/201750 hours3,600 €RWTH Executive Certificate/2 ECTSDr.-Ing. Sebastian Reuter, Philipp Ennen M.Sc., Sebastian Schönitz, M.Sc, Christoph Henke

Duration: Workload: Fees: Qualification:Teaching:

Introduction to mobile robots for in-factory logistics

Day 1

Trajectory generation and reactive collision avoidance for mobile robots

Day 4

Definition of basic robot skill for monitoring task and path execution and material handling

Examination

Day 5

Task planning of transport-orders

Day 2

Planning global paths for a fleet of mobile robots

Day 3

Learning Objective You will understand the potentials of a flexible material flow and how to build adaptive production systems using mobile robots. You will learn methods for planning transport orders, coordinating a fleet of mobile robots and planning collision-free and efficient paths.

Finally, you will implement and test the methods using a fleet of mobile robots. The latest procedures of planning tasks and pathways for intralogistical robots will be presented. A special focus lies on dependency and safety, as well as the implementation in the industrial realm.

In-Factory Logistics Using Mobile RobotsCourse Schedule - Advanced Module

What to expectAs a flexible flow of material is a prerequi- site for adaptive production systems, in this advanced course you will learn how to make intralogistics more flexible via mobile robots.

What to expectThis advanced course introduces ROS middleware and its tools for developing modern robot systems. It covers the general structure of ROS and the usage of its publish-subscribe, service and action-server concepts. It offers a short introduction to the robot simulation Gazebo.

Course Profile

16/10 - 20/10/201750 hours3,600 €RWTH Executive Certificate/2 ECTSDr.-Ing. Sebastian Reuter, Philipp Ennen M.Sc., Christoph Henke

Duration: Workload: Fees: Qualification:Teaching:

Learning Objective You will be able to implement CPS and intelligent robots based on the concept of ROS. First you get a short review of the communication infrastructure of ROS. Subsequently, you learn how to model and integrate various environments, actuators and sensors into the simulation environ-ment Gazebo.

You will be able to implement sensor- and hardware-drivers in simulation and on real robots. In addition, you learn and test fundamental methods for localisation, mapping and motion planning in ROS. You will integrate the key components of a mobile robot (hardware, sensory as well as localisation, mapping and Motion Planning Algorithms) in ROS.

Robot Operating System (ROS) for Industrial RobotsCourse Schedule - Advanced Module

ROS basics I: Basic structure of ROS programmes (Publish<->subscribe and services)

Day 1

Using ROS to make a robot move I: writing sensor- and hardware-drivers

Day 4

Using ROS to make a robot move II: localisation, mapping and motion planning

Examination

Day 5

ROS basics II: How to create action services and how to debug programmes

Day 2

GAZEBO basics: simulating the world

Day 3

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Overview on the basic communication technologies in modern production facilities, offering a survey on common theoretical concepts as well as corresponding technologies that implement the concepts – like OPC UA, DDS and RabbitMQ.

One of the advanced modules serves as a basis for the individual case studies. Whilst attending your chosen modules, you conduct your own hands-on example of implementing its theoretical aspects, finishing the study back in your companies. The examination task can be individually chosen (e.g. daily-work related) or assigned. You will have to document how you solved the task and present and defend your solution.

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Cyber-Physical Systems and Intelligent RoboticsExamplary Curriculum

Decision Making Using Expert-Systems and Machine Learning

Robot Operating System (ROS) for Industrial Robots

In-factory Logistics Using Mobile Robots

Fundamentals to Smart Engineering for Smart Factory

Integrating, Mining and Analysing Data for Production Systems

Foundation Module

Advanced Modules

ExpertModule

Pick & Mix - your choice, your career, your future!

Quick Facts• Foundation Module plus 3 advanced modules of 5 days each necessary to attend this level • on-campus attendance (RWTH Aachen, Germany) & blended learning• 15 ECTS• qualification: RWTH Expert Certificate

Quick Facts• Foundation Module plus 3 advanced modules of 5 days each • on-campus attendance (RWTH Aachen, Germany)• 8 ECTS • qualification: RWTH Academic Certificate

Quick Facts• each separate module lasts 5 days • on-campus attendance (RWTH Aachen, Germany)• 2 ECTS • qualification: RWTH Executive Certificate

Please note that all of the modules below need to be attended in the indicated order for the purpose of completing either the Advanced Course or the Expert Training. Nevertheless, they can also be selected separately as individual courses, each lasting 5 days and finishing with the RWTH Executive Certificate.

Communication in Modern ProductionSystems

Case Study and Field ProjectIncluding Examination

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Your LecturersProf. Dr.-Ing. Tobias MeisenJunior Professor and Head of Institute of Information Management in Mechanical Engineering (IMA) of RWTH Aachen University Expert topics: data integration and analytics in production, heterogeneous ICT, industrial big data

Dr.-Ing. Sebastian Reuter Research Group Leader Technical Cybernetics Expert topics: control and navigation of mobile robots, inter-robot cooperation

Dipl.-Ing. Thomas Thiele Research Group Leader Production Technology Expert topics: data analytics in production, knowledge management

Dipl.-Ing. Max Hoffmann MBA Research Group Leader Big Data Analytics Expert topics: Industry 4.0 ready communication and information technologies (OPC UA, DDS,…)

Philipp Ennen M.Sc. Researcher at IMA (Institute of Information Management in Mechanical Engineering) Expert topics: learning motion skills, human-robot cooperation

Christoph Henke M.Sc.Researcher at IMA (Institute of Information Management in Mechanical Engineering) Expert topics: mobile robotics in intralogistics, path planning, motion generation

Sebastian Schönitz M.Sc. Researcher at IMA (Institute of Information Management in Mechanical Engineering) Expert topics: expert system, inter-agent cooperation, automated planning

Prof. Dr. Ing. Christian Brecher Professor and head of Institute of Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University Expert topics: transmission technology

Dipl.-Ing. Markus Obdenbusch Chief Engineer at Institute of Laboratory for Machine Tools and Production Engineering (WZL) Expert topics: automisation and control engineering

Why choose us?

„Industry 4.0“ Experience Demonstration Factory and Innovation Labs as Real-Life Experimental Framework

The Demonstration Factory and the innovation lab of our smart logistics cluster serve as a real-life experimental environment for Industry 4.0. Participants can test the governance of the actual employment of machines and personnel in real-time to implement lean production processes. The innovation labs test new technologies like sensors or the intercommunication between different IT-system environments.

Scan for visual infor- mation on our Smart Automation Lab.

Thilo Vogel

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• We provide thoroughly English-taught continuing education at the RWTH Aachen University in Germany, with the scientific leadership of highly qualified university professors and scientists.

• Your trainers are technology experts of the RWTH Aachen University with a scientific and didactic background as well as a broad experience from industrial projects.

• Course contents are directly applicable to the challenges in your companies, enabling you to develop and employ your own 4.0 strategies.

• A strong focus lies on networking and communication amongst participants and lecturers.

• You will receive an official RWTH Aachen University certificate which shows both course contents and course aims.

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We will be happy to answer any of your queries, so please do not hesitate to contact us:

Sonja KaufmannProgramme Coordinator Engineering & Natural Sciences RWTH International AcademyTel: +49 (0)241 80 97742S.Kaufmann@academy.rwth-aachen.de

Venue and ScopeBoth certificate courses are conducted at RWTH Aachen University (Germany) with a scope of 5 days. The Advanced and Expert Training variants of CPS-IR exceed this scope. For further information refer to pages 14 and 15 of this booklet.

Number of ParticipantsTo ensure individual learning success and lively discussions between participants and lecturers, the maximum number of attendees does not exceed 15 people.

Didactics and Language The courses combine different teaching methods such as lectures, group works, blended learning and practical examples. Course language is English, therefore both the comprehensive course documents as well as presentations will be provided in English.

Test Performance and CertificateUpon successful completion of the chosen course, both of which conclude with a written exam, participants will receive an official RWTH University certificate.

Course FeesThe certificate course „Fundamentals to Smart Engineering for Smart Factory“ costs 3,600 €. The certificate course „Cyber-Physical Systems and Intelligent Robotics (CPS-IR)“ ranges from 3,600 € to 18,000 €, depending on the chosen degree. Course papers, catering and framework programme are included, whereas lodging and travel expenses will be at participant‘s own costs.

ApplicationYou can apply via the online application form on weiterbildung.rwth-aachen.de/en/technology-production or via email to further-education@academy.rwth-aachen.de

Organisation and Application „Cyber-Physical Systems and Intelligent Robotics (CPS-IR)“ and„Fundamentals of Smart Engineering for Smart Factory“

For further information and to access the application form please visit our website:

www.further-education-in-engineering.com

If you wish to download this broschure as pdf-document:

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Imprint

editor:RWTH International Academy gGmbHCampus-Boulevard 3052074 Aachen I GermanyTelefon: +49 241 80 96653further-education@academy.rwth-aachen.dewww.academy.rwth-aachen.de

pictures:RWTH International Academy gGmbH, Thilo Vogel, fotolia

published: January 2017, first edition