GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE NEWS012019 DFKI at HANNOVER MESSE Baton Passes to Professor Koehler New DFKI Shareholders DFKI-Newsletter // ISSN-2196-2243 // 43th edition // © 2019 DFKI

Pioneering approaches to the implementaon of intelligent sooware soluons for industrial applicaons in INDUSTRIE 4.0 are the subject of DFKI exhibits at the Hannover Messe from April 1-5, 2019. N DFKI is presenting current industry-related research results from the spectrum of IT topics in the main theme area “Research & Technology” in Hall 2, Stand C59, including: human- robot collaboration (HRC), explainability of AI systems, digitization and Internet of Things in the construction industry, workplace health through wearables, autonomous robots for space, self- verifying computer systems, and adaptive interactive teaching and learning systems. In Hall 8, Stand D18, SmartFactoryKL and DFKI will show a scalable solution for industrial intelligence applications. With a focus on SMEs, INDUSTRIE 4.0 is also the subject of the trai- ning demonstrator of the Mittelstand 4.0 Competence Center Kai- serslautern on the stand of the Federal Ministry of Economics and Energy (Hall 2, C28). This is a playful demonstration of how digi- tization works in production. In the 5G Arena in Hall 16, D38, DFKI will present research ap- proaches for the development of a unified industrial 5G com- munication system that integrates fifth generation mobile radio networks and industrial communication networks. As a research partner of DB Systel, DFKI will be represented at the VDI stand (Hall 2, C40). A cross-sector service platform from the joint project Smart Data for Mobility (SD4M), which integrates data from different mobility providers and social media data into an early reporting system for travel planning, will be on display. INFORMATION ABOUT ALL DFKI EXHIBITS, EVENTS AND KEYNOTES AT THE HANNOVER MESSE 2019 Ħ www.dfki.de/en/hm19 / DISCOVER THE FUTURE OF INDUSTRY I N D U S T R I A L P I O N E E R S S U M M I T April 2, 2019 • Hannover • Germany N e w We are looking forward to your visit at the Hannover Messe! You can register as a trade visitor for free under the following QR-code. News 1_2019 I © DFKI 3

DFKI AT HANNOVER MESSE p. 3 HEALTHCARE MANAGEMENT AI Technology Detects Physical Strain at the Workplace p. 18 Launch of BIONIC-Project – An Intelligent Sensor Network Designed to Reduce the Physical Demands at the Workplace p. 19 Robots and Language Technologies for Clinical Health Education p. 34 BUILDING INDUSTRY ConWearDi – Internet of Things at the Digitalized Building Site p. 26 BIG DATA / SMART DATA Munich Re Is a New Shareholder in DFKI p. 12 Smart Data for Mobility SD4M – Intelligent Data Management for Travel Planning p. 31 Imprint Issue 43, March 2019, ISSN 2196-2243 Published by: German Research Center for Artificial Intelligence GmbH (DFKI) Editorial staff: Heike Leonhard, Christof Burgard, Reinhard Karger, Armindo Ribeiro, Stephan Lehberger Editorial address: Saarland Informatics Campus D3 2, Stuhlsatzenhausweg 3, D-66123 Saarbrücken E-Mail: news@dfki.de, Phone: +49 681 85775 5390 Photos: DFKI, unless otherwise noted Layout, Graphics: Christof Burgard Translation team: Glenn Peach, Armindo Ribeiro, Sylvia Krüger, Heike Leonhard Production: One Vision Design Responsible: Heike Leonhard, Corporate Communications Frequency of publication: Semi-annual News online: www.dfki.de/newsletter-en TABLE OF CONTENTS 3 DFKI at Hannover Messe 2019 6 Handover Ceremony of AI Chair and DFKI from Professor Wahlster to Professor Koehler 10 CLAIRE – A European Vision for Artificial Intelligence 12 Munich Re Is a New Shareholder in DFKI 13 DFKI is Partner in the ZF Technology Center for Artificial Intelligence and Cybersecurity 14 Federal German Science Minister Anja Karliczek Visits DFKI Saarbrücken 15 International Workshop on Augmentation & Amplification – Expanding the Cooperation With Japan 16 First Japanese-German-French AI Symposium in Japan 18 AI Technology Detects Physical Strain at the Workplace 19 Launch of BIONIC-Project 20 Mobile, Robust, and Adaptable – New Generation of Autonomous Space Robots 22 Riveting, Screwing, Gluing in Aircraft Construction – Smart Human-Robot Teams Master Agile Production 23 XAI 4.0 – Explainable Artificial Intelligence for INDUSTRIE 4.0 24 Artificial Intelligence in Manufacturing – Human-Centric Support 25 Training Demonstrator for INDUSTRIE 4.0 – Hands-on Digitalization 25 Project TACNET 4.0 – 5G as a Pioneer for INDUSTRIE 4.0 26 ConWearDi – Internet of Things at the Digitalized Building Site 27 HyperMind – The Anticipating Textbook 28 Anomaly Detection and Correction With SELFIE 29 Guided AL Research Project Successfully Completed 30 SmartMobi Project Launch 31 Smart Data for Mobility SD4M 31 DFKI Participates in New Special Research Field “Foundations of Perspicuous Systems” 32 AI.EDU Research Lab Together With FernUniversität in Hagen 33 Designing Personalized Learning Environments for Students 34 Robots and Language Technologies for Clinical Health Education 35 DFKI Interview – Dr. Aljoscha Burchardt 36 News in Brief 38 Company Profile News 1_2019 I © DFKI 5

e z t e D i r e v i l O / I K F D : o t o h P Saarland's Minister President Tobias Hans thanked Professor Wahlster for his extraordinary engagement: “Your contributions are singularly responsible for the development of DFKI as a research institute of international acclaim and have ensured that it can compete internationally with other outstanding Centers of Excellence. For decades, you have contributed in a special way to the development of Artificial Intelligence as a field of research in Germany and are undoubtedly among the most respected computer scientists in the world. Over many years, you have been a force of progress and an important partner to the government with your sense of the importance of scientific topics and their potential for society and the need for innovation in the economy.” “In light of the recent transfer of office, the continuation of the very successful path followed to date, and the further strengthening of the close and productive cooperation at this location is of equal importance to the University and to DFKI. We welcome Professor Jana Koehler as an outstanding scientist, who brings an impressive resume to the location – highlighted by a university background, far-reaching insight, and a vision for AI cooperation among university and non-university research. At the departure of Professor Wolfgang Wahlster, I express my appreciation on behalf of the entire university. Our university and the center as a whole are losing an individual who played an enormous role in the successful development of the Saarland Informatics Campus. An outstanding thought leader and visionary, he has shaped genera- tions of students and scientists at our university – and beyond – and fascinated and inspired many young people to study computer science.” Prof. Dr. Manfred Schmitt, President of Saarland University News 1_2019 I © DFKI 7 e z t e D i r e v i l O / I K F D : o t o h P

DFKI CFO Dr. Walter Olthoff stated: “DFKI has been a remarkable success for over thirty years, both scientifically and economically. In 2018, we were able to set a new record for our financial volume, expand the circle of industry partners, and welcome our 1000th employee. I would like to thank Prof. Wahlster for more than 21 years together with him in executive management! We are on the right path and I look forward to working with Prof. Jana Koehler.” Prof. Wolfgang Wahlster remembered: “I am pleased that the generational change I was aiming for at the top of DFKI coincides with a new growth phase in my field of research, which made the transition easier because of the tremendous worldwide interest in Artificial Intelligence. Other federal states have expressed an interest in establishing a DFKI presence, and many companies from Germany and abroad want to become industry partners with DFKI. The German government is increasing the support for basic research at the AI centers and 100 new AI professorships will be announced. These are the best indicators for a continuation of the DFKI success story under the new leadership of my colleague Prof. Jana Koehler, whom I wish good fortunes and success in a very complex management position. e z t e D i r e v i l O / I K F D : o t o h P Without the excellent teamwork with our supervisory board chairperson, Prof. Aukes, our CFO, Dr. Oltho, the more than 20 DFKI professors, and the 1000 member DFKI sta, our many successes over the past 30 years – with sales doubling every 10 years – would not have been possible. The support of the federal and host state governments and our industry partners (to whom I express my sincere appreciation again here today) was also crucial. The chance to accompany DFKI from the beginning was a great honor and pleasure for me. I would be very happy to oer my advice and assistance if asked by DFKI and its shareholders at any time in the future.” Prof. Dr. Jana Koehler was a professor for Computer Science at the Lucerne University of Applied Sciences and Arts in Lucerne, Switzerland. The focus of her teaching and research there was on the methods of Artificial Intelli- gence and the subject of business process management. From 1990 to 1996, she was a research assistant at DFKI Saarbrücken and completed research visits at the universities of Linköping (Sweden), Maryland (USA), Berkeley (USA), and Freiburg (Ge). Other career positions were with the Schindler company and IBM’s research lab in Rüschlikon, Switzerland. She co-authored one of the most important standards in the area of Business Process Management and published in 2011 (BPMN 2.0). Her current research efforts are directed at AI for INDUSTRIE 4.0 and architectures for intelligent planning and scheduling systems. Prof. Dr. Wolfgang Wahlster retired from Saarland University effective on December 31, 2019 and handed over his positions as CEO, Science and Technology Director, and Chair of the Executive Board (which he held for more than 20 years), to Prof. Koehler on February 1, 2019. Prof. Koehler is also now serving as the Chair of Artificial Intelligence at Saarland University. MORE INFORMATION Ħ dfki.de/en/web/news/detail/News/academic-handover-dfki-management-board News 1_2019 I © DFKI 9

Major Goals of CLAIRE The CLAIRE network offers partners an ideal forum for defining the fundamental issues for AI research, discussing the most promising approaches, and then taking them on together through appropriate collaboration and joint projects. The CLAIRE Competence Centers will be strategically located across Europe to provide members of the network with a central contact point in their region. In contrast, the CLAIRE Hub will be the central facility and pro- vides a tangible center of activity within the network. The best researchers at all career levels will be able to work for defined periods, for example, as part of a research project with part- nering organizations from the scientific and business communities or to participate in sci- entific exchange. The aim is not only to create a large AI community, but also a “trademark” for AI made in Europe (similar to the very successful CERN in physics). With adequate con- ference space and a unique data and computing infrastructure along with well-equipped test labs, Europe will be well-positioned to tackle even the major challenges of AI. The first steps have already been taken in the transition from an informal initiative to an or- ganization with legal standing. The headquarters in Den Haag is currently under construc- tion; two additional locations are operating in Saarbrücken and Oslo. Additional offices and staff will be gradually established in other European cities. An important component in promoting the vision of the network and ensuring an initiative that serves the best interests of the public are the semi-annual CLAIRE symposia. The basic themes and the main components of CLAIRE were agreed at the first symposium in Brussels. The participants were enthusiastic about the opportunity to be a part of the common effort and the comprehensive strategic concept for AI in Europe (claire-ai.org/symposium). The second CLAIRE Symposium was held in Rome on February 27, 2019. Discussions centered on the further elaboration of the organization, the selection criteria for the regional compe- tence centers and the CLAIRE hub, in addition to how to best integrate industry in the net- work. In addition, a workshop attended by the best AI researchers in Europe was held with the Eu- ropean Space Agency (ESA) on the topic “Earth-Observation,” where the challenges and joint solutions in this area of application were discussed. Other topics of interest to the in- dustrial and social communities will be the subject of future Industry's key role The Industry is an important cooperation partner and a key element in the effort to make the vision of “AI made in Europe” a reality. Top notch research alone is not sufficient to suc- cessfully establish innovations in the market. New technologies will only serve to benefit hu- mankind if they are tailored to the specific needs of the respective target group. In this process, government, society and, in particular, businesses all have a pivotal role to play. The sooner these stakeholders are involved in the discussion and the development of new re- search subjects and technologies, the more fitting the solutions will be later down the line. Together for Europe Every new project poses challenges for its members. Members with many different roles will be needed to implement the pro- ject, if it is one as visionary as CLAIRE. Only if research, industry, government, and so- ciety are all pulling in the same direction and cooperating with one another, can we be sure that human-centric AI will be based on European values and norms and con- tribute to prosperity throughout Europe. The participation of CLAIRE at the Han- nover Messe 2019 presents an excellent op- portunity for research and industry to gather information and make new con- tacts. Become part of the CLAIRE network at an early stage and make a significant contribution to shaping the future of human-centric AI for Europe. We look for- ward to welcoming you at the DFKI stand C59 in Hall 2! MORE INFORMATION Ħ claire-ai.org CONTACT Ü Prof. Dr. Philipp Slusallek Site Director DFKI Saarbrücken Co-Initiator of CLAIRE Ö Philipp.Slusallek@dfki.de 4 +49 681 85775 5276 Ü Dr. Silke Balzert-Walter Research Department Agents and Simulated Reality Industry Relations CLAIRE Ö Silke.Balzert@dfki.de 4 +49 681 85775 2107 Sponsored by: Philipp Slusallek, Silke Balzert-Walter, Morten Irgens (Oslo Metropolitan University), Alexa Kodde (Leiden University) and Holger Hoos (Leiden University). Photo: CLAIRE News 1_2019 I © DFKI 11

DFKI is Partner in the ZF Technology Center for Artificial Intelligence and Cybersecurity ZF is establishing a Technology Center for Arficial Intelligence (AI) and Cybersecurity in Saarbrücken. In a worldwide network, the technology group is already developing applicaon possibilies with AI to make systems and components as well as producon and services more intelligent, efficient and safer. With the new “ZF AI & Cybersecurity Center,” ZF is now expanding its acvies in the area of AI research in order to coor- dinate and control the company’s AI acvies from here in the future. N On March 12, 2019, Wolf-Henning Scheider, CEO of ZF Friedrichshafen AG, gave the go-ahead for the Technology Center in the presence of Saarland Minister- President Tobias Hans. Scheider also announced that ZF, as shareholder of the German Research Center for Artificial Intelligence (DFKI) and strategic partner of the Helmholtz Center for Information Security (CISPA), will cooperate closely with these leading research institutions in the future. The completion of the accession to the circle of currently 27 DFKI shareholders is expected for the second quarter of 2019 and is subject to formal approval of all current shareholders. Minister-President Tobias Hans considers the establishment of this first industrial center for AI and cybersecurity in the Saarland region to be a confirmation of his digitalization policy: “The new ZF center strengthens the Saarland as industrial location with some thousands of jobs. With this, we build a bridge from Saarland's scientific-technological IT/AI competence to the technological excellence of a worldwide leading automotive supplier company.” Saarbrücken is a logical choice for ZF as the location for its new competence cen- ter: “Under the moniker ‘Digital Saarland,’ the region has become the hub for di- gitalization, artificial intelligence and cybersecurity. We are very pleased that, with DFKI and CISPA, we can now build on the high level of expertise of two of the (l.to r.): Prof. Michael Backes (Founding Director CISPA), Tobias Hans (Minister President of Saarland), Wolf-Henning Scheider (CEO ZF Friedrichshafen AG), Prof. Jana Koehler (CEO DFKI) and Prof. Wolfgang Wahlster (Chief Executive Advisor DFKI). Photo: ZF world’s leading research institutions in our partner network,” said Wolf-Henning Scheider. Prof. Dr. Jana Koehler, Chairwoman of the Board of DFKI, explained: “For several years now, ZF has been an outstanding practical partner for DFKI in the field of Industry 4.0 – both in joint research in national re- ference projects and as a client for services. We are currently using a DFKI High-Performance Optimiza- tion System in a pilot project that supports online ver- sion control at the ZF plant in Saarbrücken. ZF provides us with deep, comprehensive insight into the production domain, allowing us to carry out tasks such as certifying the efficiency of AI systems for spe- cific planning tasks. This early grounding in the real world of production is crucial for successfully accele- rating demandoriented research transfer.” ZF is a global leader in driveline and chassis techno- logy as well as active and passive safety technology. The company has a global workforce of 146,000 with approximately 230 locations in some 40 countries. In 2017, ZF achieved sales of €36.4 billion and as such, is one of the largest automotive suppliers worldwide. MORE INFORMATION Ħ www.zf.com ZF CONTACT Ü Karin Markenstein Head of Corporate & Marketing Communications ZF Friedrichshafen AG Ö Karin.Markenstein@zf.com 4 +49 681 920 2563 DFKI CONTACT Ü Reinhard Karger, M.A. Corporate Spokesperson Ö Reinhard.Karger@dfki.de 4 +49 681 85775 5253 News 1_2019 I © DFKI 13

International Workshop on Augmentation & Amplification – Expanding the Cooperation With Japan “Expanding and strengthening human cognive skills,” was the scienfic theme of a workshop held in mid-January for approximately 80 researchers at DFKI in Kaiserslautern. The "Internaonal Workshop on Intelligence Augmentaon and Amplificaon – IAA 2019” focused on the subject of AI and the related exchange and networking between researchers in the two countries. The high-profile event was supported by the Federal Ministry of Educaon and Research (BMBF), the German Research Foundaon (DFG), and the Japan Science and Technology Agency (JST). N The desire for collaborative research projects was the motivation for the international meeting. Com- parable to the BMBF programs and the special re- search areas of the DFG, the JST also has a competition research fund called CREST, which cur- rently operates three programs involving artificial in- telligence, intelligent information processing, and symbiotic interaction. The direct benefit of the workshop to Germany and Japan and their respective research landscapes de- rives from the synergy of the transnational coopera- tion. Under the motto “United we stand – divided we fall,” networking and collaborative research can be seen as a useful tool, to be jointly applied in winning the global competition. “Artificial intelligence has a unique potential to solve complex problems that are beyond human capabilities. It can enhance human cognitive skills and is an ideally matched assistant. The Japanese vision of human-centric AI is very similar to the German one. Japan is an ideal partner to explore the joint development of technologies, es- tablish international standards, define ethical norms and, in the process, ensure competitiveness with China and the USA.” Prof. Dr. Andreas Dengel, Site Director for DFKI Kaiserslautern and organizer of the workshop Dr. Yoshimasa Goto, Executive Director at JST: “In research related to AI, in par- ticular, many problems exist, such as (1) safety and reliability, (2) vulnerability, (3) response to unknown events, (4) labor and cost reduction for data maintenance and machine learning – challenges that have to be overcome.” Dr. Herbert Zeisel, Deputy Director General in the area “Key Technologies for Growth” at BMBF: “The German government's AI strategy is intended to safeguard Germany as a research and business center and to promote the many potential applications of AI for tangible social progress in all sectors in the public interest. Our ideal vision for AI is one that includes a human centric approach and con- cerns itself with cultural and ethical framework conditions. The international co- operation with Japan and other like-minded states in the EU and beyond is a vital counterbalance to the companies and countries that are pursuing AI develop- ment without regard to data protection and privacy rights.” MORE INFORMATION Ħ www.dfki.de/sds CONTACT Ü Prof. Dr. Andreas Dengel Head of Research Department Smart Data & Knowledge Services Ö Andreas.Dengel@dfki.de 4 +49 631 20575 1000 News 1_2019 I © DFKI 15

Philipp Slusallek, site director for DFKI Saarbrücken and co-founder of the CLAIRE initiative served as chair for the session called “AI Ap- plications in Mobility and Autonomous Driving” and gave a talk on the subject “Understanding the World with AI: Training and Validat- ing Smart Machines Using Synthetic Data.” “Unless we understand AI systems and make them explainable, we will not be able to establish people's trust in AI. Before we let a pilot fly an airplane, we let them prove that they can master critical situations.” Prof. Dr. Philipp Slusallek, Site director DFKI Saarbrücken CONTACT Ü Christian Heyer Head of Corporate Communications, DFKI Kaiserslautern Ö Christian.Heyer@dfki.de 4 +49 631 20575 1710 The symposium concluded with the participants from Japan, France, and Germany agreeing to work more closely together on the subject of AI in the future. To solidify this agreement, the experts authorized a joint declaration of intent: JOINT STATEMENT OF THE GERMAN, JAPANESE AND FRENCH PARTICIPANTS ON INTENSIFIED COLLABORATION IN AI “On the occasion of the first Japanese French and German Symposium on Artificial Intelligence, organised by the DWIH Tokyo and the Embassy of France in Japan, the participants from the fields of research, policy, and fanding organisations express their willingness to intensify their future collaboration in AI research and innovation. The cooperation will be carried out in the spirit of shared ethical values for the common good of our societies. At the centre of this collaboration we put a human-centred approach which will set common standards and a joint anderstanding of the potential of Artificial Intelligence. We strongly support the creation and reinforcement of networks of individuals as well as networks of institu- tions. Based on the respective national strategies of Artificial Intelligence we see the need and the scope for intensified exchange of researchers, ideas and perspectives to face challenges in areas such as health care, mobility, environment, connected industries, or disaster risk reduction. The ultimate aim of Artificial Intelli- gence is to serve people and contribute to the improvement of the quality of life for the individual as well as for society as a whole.” Tokyo, November 22, 2018 News 1_2019 I © DFKI 17

Launch of BIONIC-Project – An Intelligent Sensor Network Designed to Reduce the Physical Demands at the Workplace N Many workers complain of symptoms caused by physical strain suffered in the workplace. The common causes for this are incor- rect loading of the musculoskeletal system, monotonous move- ments, or an ergonomically unfavorable body posture. Older workers, in particular, often suffer from disorders of the muscu- loskeletal system or other limitations as a cumulative effect of their many years on the job. DFKI, as coordinator of the EU-funded BIONIC project, is working with ten international partners to develop intelligent solutions that will reduce such health concerns. Body Sensor Network (BSN) for real-time analysis of loads and correction of misalignments Using a network of different sensors worn on the body, we are de- veloping a system that measures the state of the worker's health based on movements over the course of the workday. The analysis is performed by an intelligent chip directly on the body, so that raw data can be preprocessed directly at the ‘source,’ enabling the real- time calculation of the data flows. Innovative risk analysis methods provide direct feedback about loads and misalignments. Playful ap- plications and a training app motivate the user to counteract uni- lateral stress while also providing individualized and medical support for a home workout. Further development of project EASY-IMP applications Several partners have successfully worked on the development of a BSN as part of the EU sponsored and DFKI-managed EASY-IMP project. The predecessor project used small inertial measurement sensors (IMUs) attached to the clothing or affixed to the skin for the analysis of body movements. BIONIC is further developing the lightweight and modular design of the system to facilitate easier integration. Biomechanical models and “Deep Learning” for ergonomic risk assessments Algorithms for ergonomic risk assessment of physical loads are de- veloped using biomechanical models of age-related and chronic impairments. Among the input parameters are things like posture, forces, and torques as well as physiological parameters like heart frequency and body temperature. s Project partners: • ACCIONA Construcción S.A. – Spain • Federal German Institute of Occupational Safety and Health (BAuA), Dortmund • German Research Center for Artificial Intelligence (DFKI) (Project coordination) • Fandación Laboral de la Construcción – Spain • Hypercliq IKE, Greece • Instituto de Biomechanica de Valencia, Spain • Interactive Wear GmbH, Munich • Roessingh Research and Development, University of Twente, Netherlands • Rolls-Royce Power Systems AG – Friedrichshafen • Kaiserslautern University of Technology – wearHEALTH Group • University of Piraeus – Systems Security Lab, Greece Project volume: approx. 4 million euros. Project term: 01/2019 – 01/2022 Financial sponsor: European Union Objective and subjective data form the basis of procedures that are then complemented by personalized algorithms for further use in Deep Learning methods. All generated data are stored in accor- dance with the EU Data Protection Directive. “BIONIC – Personalized Body Sensor Networks with Built-In Intelli- gence for Real-Time Risk Assessment and Coaching of Ageing workers, in all types of working and living environments” is an in- terdisciplinary research project with eleven partners from medicine, biotechnology, electronics, information technology, and artificial intelligence. The project results will be validated in pilot tests with construction and factory workers. MORE INFORMATION Ħ www.bionic-h2020.eu CONTACT Ü Prof. Dr. Didier Stricker Head of Research Department Augmented Vision Ö Didier.Stricker@dfki.de 4 +49 631 20575 3500 News 1_2019 I © DFKI 19

In the near future, robots and astronauts will work together in space, for example, in constructing infrastructure. The DFKI research lab tests various grades of autonomy: the robot acts more or less au- tonomously depending on the complexity of the tasking. The as- tronaut intervenes by teaching a new behavior if the robot gets stuck. To achieve successful HRC, scientists study the latest meth- ods of intention recognition and analysis, which includes taking physiological data into account, for example, by integrating the op- erator's emotions and state of mind in the planning or optimization of the robot action. Out of the lab: Test for autonomous space robots New systems are tested in so-called analog missions under realistic conditions outside the lab to ensure they will work as planned in the harsh environments of Mars or the Moon. Scientists from DFKI and the University of Bremen traveled to the Mars-like desert of the state of Utah in the American west at the end of 2016, to simulate a complete mission sequence and test the capabilities of the rovers SherpaTT and Coyote III. The purpose of the mission was to use a heterogeneous robot team to build a logistical chain that supports the autonomous exploration of the environment and taking of soil samples. Scientists used a mission control station located in Bre- men, where a communication link was established via satellite to the robots in Utah. The operator was able to intuitively control the system at a distance of more than 8,300 km by means of the ex- oskeleton system. In November 2017, DFKI researchers traveled to Tenerife (Canary Is- lands) for two-weeks of field testing of newly developed algorithms. The algorithms made it possible for the CREX and Asguard IV robots to explore the lava caves on the island of most interest to space exploration. More recently – from November to December 2018 – the researchers went to the Moroccan desert to test software de- veloped together with European partners for use in space. They used SherpaTT, the DFKI hybrid walking and driving rover, as the robotic test platform. Thanks to the new software, it traversed a dis- tance of more than 1.3 km through a landscape characterized by wide plains as well as steep slopes and deep ravines. Technology transfer: Space technologies for hostile environments on Earth Robotic systems in space have a tremendous transfer potential: These systems are designed for use in rough terrain and are well- suited for use in extreme and hostile surroundings on Earth. For ex- ample, they can be deployed in deep undersea or contaminated CREX, the six-legged walking robot independently explores a lava cave on Tenerife. areas. The robotic specifications to provide the necessary auton- omy and manageability are very similar in such places, especially, in terms of their mobility, adaptability, and sturdiness. Bremen sci- entists have succeeded in further developing the SherpaTT robot for deployment in a deep sea scenario: it can also be used now as an autonomous underwater rover for sustainable resource extrac- tion or for monitoring and inspection of deep-sea facilities. Also, they have equipped the micro-rover Coyote III with a gas sensor, which allows it, independently and without endangering human life, for example, to explore a hard-to-access building and detect any gas leaks after a disaster event. MORE INFORMATION Ħ www.dfki.de/robotics CONTACT Ü Prof. Dr. Frank Kirchner Director DFKI Robotics Innovation Center Ö Frank.Kirchner@dfki.de 4 +49 421 178 45 4100 Thanks to new software, the DFKI rover SherpaTT crossed the Moroccan desert autonomously, covering a distance of more than 1.3 km. News 1_2019 I © DFKI 21

XAI 4.0 – Explainable Artificial Intelligence for INDUSTRIE 4.0 Leveraging Manufacturing Execution Systems (MES) for AI in production N AI-based decision aids help subject matter experts as they make judgments in the context of their operational activities, especially, when complex information and systems are involved. The targeted use of data-driven decision making can lead to significant produc- tivity gains in the manufacturing sector – assuming a successful op- erationalization and embedding of the cognitive insights into the business processes takes place. Such integration requires a change management process, which builds trust in the actions, inference mechanisms, and results provided by the deployed AI systems. Although AI models are becoming increasingly precise, their “black-box-character” still poses a major obstacle for practical ac- ceptance and use: So far, they provide little explanation to the ex- perts about how the results and recommendations are reached. However, for a smooth deployment of the AI systems and their ac- ceptance by the experts, it is essential that results be comprehen- sible, in other words, explainable. Explainability is seen as a way to increase user confidence in the models. Nevertheless, explainability is not a clearly defined term: it encompasses many different dimen- sions and goals. The quality and adequacy largely depend on the situational context of the decision and the characteristics of the user. Findings from the cognitive sciences seem to confirm that while promoting understanding of the internal mechanisms of ML models for data scientist/engineers is very important, it is also accompa- nied by high cognitive stress even to the point of excessive de- mands. Post-hoc approaches to explanations rarely clarify how the model arrived at a conclusion, but they do provide useful informa- tion for the user and end customer of the ML systems. XAI 4.0 demonstrates numerous machine learning post-hoc expla- nations for industrial use cases such as explanations with local and global surrogate models or case-related visual as well as counter- factual explanations where the target audience consists of subject matter experts. Model-agnostic – as well as model-specific approaches to expla- nations – are presented, and hidden layer activations in deep neural networks are used to gain an understanding of the decisions of deep learning systems. XAI 4.0 will be presented at the DFKI stand in Hall 2, C59 at the Hannover Messe. MORE INFORMATION Ħ www.dfki.de/iwi CONTACT Ü Prof. Dr. Peter Fettke I Nijat Mehdiyev Institute for Information Systems (IWi) at DFKI Ö Peter.Fettke@dfki.de I Nijat.Mehdiyev@dfki.de 4 +49 681 85775 3106 News 1_2019 I © DFKI 23

Training Demonstrator for INDUSTRIE 4.0 – Hands-on Digitalization The training demonstrator at the Mielstand 4.0 Competence Center Kaiser- slautern illustrates, in an entertaining way, how digitalizaon works in manu- facturing. Visitors to the BMWi stand (Hall 8, C28) at Hannover Messe can produce an individual game cube in batch size 1. N Supported by modern assistance systems, the demonstrator guides the visitor through the individual processing steps of the cube. The aim is to point out the different possibilities of networked production and make it a tangible experience. The demonstrator was developed for the training program at Competence Center Kaiserslautern and provides ideas about how to ap- proach digitalization in a production environment step by step with the aid of assistance systems like 3D printers and RFID. The Mittelstand 4.0 Competence Center (SME 4.0) Kaiserslautern is composed of four partners: The technology initiative SmartFactoryKL (coordinator), the German Research Center for Artificial Intelligence (RD Innovative Factory Sys- tems and Institute for Information Systems), Kaiserslautern University of Technology, and the Institute for Technology and Labor, ITA (German: Institut für Technologie und Arbeit). MORE INFORMATION Ħ kompetenzzentrum-kaiserslautern.digital Project TACNET 4.0 – 5G as a Pioneer for INDUSTRIE 4.0 The Intelligent Networks research department introduces its research on 5G net- work opmizaon, self-healing, security, and performance gained in the project “TACNET 4.0 – Highly reliable and real-me capable 5G networking for INDUS- TRIE 4.0.” The tacle Internet for producon, robocs, and digital transformaon in industry will be presented in the 5G Arena (Hall 16, Stand D38). N The Federal Ministry of Education and Research (BMBF) funds the TACNET 4.0 project with the goal of developing a standard industrial 5G communica- tion system that comprehensively integrates a 5G network with industrial communication networks. This implies an expansion of the 5G concept with innovative industry-specific approaches, the development of inter-network adaption mechanisms as well as open interfaces between industrial and wire- less systems. One of the crucial aspects of TACNET 4.0 is the secure local and cross-location data transfer with minimal latency. An illustrative example would be the re- mote control of mobile machines or robots deployed to dangerous environ- ments or in other cases where no local operators are available. In addition to DFKI and Nokia Bell Labs as overall coordinators, the core part- ners in the TACNET 4.0 consortium are: ABB Research Center, Ascora GmbH, Robert Bosch, CommSolid, Götting, Institute for Industrial IT (inIT) of the OWL University of Applied Sciences in Lemgo, MECSware, NXP Semiconductors Germany, OTARIS Interactive Services, TU Dresden (Vodafone Chair for Mobile Communications Systems and Deutsche Telekom Chair for Communication Networks), and the University of Bremen. CONTACT Ü Nina Obreschkova Mittelstand 4.0 Competence Center (SME 4.0) Kaiserslautern Trippstadter Str. 122, 67663 Kaiserslautern Ö info@komz-kl.de 4 +49 631 20575 2080 MORE INFORMATION Ħ www.tacnet40.com CONTACT Ü Prof. Dr.-Ing. Hans Dieter Schotten Head of Research Department Intelligent Networks Ö Hans_Dieter.Schotten@dfki.de 4 +49 631 20575 3000 News 1_2019 I © DFKI 25

Teaching and learning processes are analyzed and modeled in the Immersive Quantified Learning Lab (iQL). The activity detection function of HyperMind analyzes the user's position and direction of gaze and provides explanations if required. HyperMind – The Anticipating Textbook The ancipatory textbook from project HyperMind at the Immersive Quanfied Learning Lab (iQL) is a dynamic-adapve, personal text- book that helps enable individual learning. The stac structure of con- venonal books is broken down, the book content divided into porons and, ulmately, the resulng knowledge blocks are associa- vely linked. N Digital systems have long since become a part of daily life, in- cluding learning at schools, universities, or in further education courses. Traditional textbooks, on the other hand, are slow media. Books limit the learning possibilities and are based on assumptions about the best or the average learner. What is lacking is an adaptive system to turn an interactive textbook into an intelligent book that responds to the demands of individual learning, individual skills, and the needs of the learner. While reading, data from sensor systems such as eye-tracking sys- tems or electro-dermal bracelets are used to analyze the progress being made by the learner and what state of mind they are in. For example, the strain on the learner can be determined by measuring the temperature of the face with infrared cameras. In the case of reading difficulties, individual learning assistance or additional use- ful information is provided. Combining data sources with intelligent algorithms such as those found in deep learning methods enables new insights into individual and group dynamic learning processes. All this data and insight leads to recommended teacher responses. In the follow-on step, teachers analyze the data in detail to draw conclusions about learning behavior and learning progress. “The system can help in the early identification of students that may, for example, need extra help in understanding a subject.” Prof. Dr. Andreas Dengel, Head of DFKI’s Smart Data & Knowledge Services research department The system also helps identify any special interests of the learner. “For example, if there is a frequent focus on a certain word, the sys- tem provides further information about it, similar to an Internet browser,” said Professor Jochen Kuhn, head of the Didactics of Physics working group at the Kaiserslautern University of Technol- ogy. An effort has been underway for a long time at TU Kaiserslautern and DFKI to make the latest technologies useful in training and ed- ucation as well as for classroom instruction. HyperMind is a sub- project of the “U.EDU project: Unified Education – Media education for teacher training,” which is part of the federal and state “Quality offensive in teacher training” funded by the Federal Ministry of Ed- ucation and Research (BMBF). Professor Dr. Norbert Wehn, Vice President for Programs and Teaching, has overall project manage- ment responsibility at the TU. HyperMind will be presented at DFKI’s Hannover Messe booth in Hall 2, C59. MORE INFORMATION Ħ www.iql-lab.de CONTACT Ü Prof. Dr. Andreas Dengel Head of Research Department Smart Data & Knowledge Services Ö Andreas.Dengel@dfki.de 4 +49 631 20575 1010 News 1_2019 I © DFKI 27

Intelligent Value-Adding Services for Everyday – Guided AL Research Project Successfully Completed More and more intelligent buildings are being equipped with future-oriented dig- ital technologies with extensive sensor and control possibilies. However, exisng systems are ooen not compable or are limited to only one building. Guided AL (Guided Autonomous Locaons) makes the leap from language assistant to “Smart Service” (intelligent value-adding services) by developing an integrated automated soluon for everyday needs (health, work, living, shopping). On February 4-5, 2019, the final project symposium was held at DFKI's Innovave Retail Laboratory (IRL) in St. Wendel. “Artificial Intelligence (AI) reaches the mass market through applications like Alexa, Google Search, and Smart Living – things that aect people directly and provide the topic with a broader base of interest.” Prof. Dr. Philipp Slusallek, Head of DFKI's Agents and Simulated Reality department N The project integrates separate systems based on established web stan- dards into a system-independent service platform for Smart Services that pro- actively provides faster, safer, and smarter support to people. The goal was to develop simple, useful operational prototypes. Data protection and data se- curity are important additional design components. Non-functional applica- tions like IT-security and physical access controls were also implemented. Only a platform designed with the security-by-design principle can satisfy the high demands of critical environments. The team around Prof. Slusallek created “autonomous locations software” for use in building automation. The focus was on the safety mechanisms and the use of public-key infrastructure (PKI). Several different application scenarios were designed in collaboration with the Innovative Retail Laboratory (IRL). The final symposium featured expert presentations on interoperability, stan- dardization issues, and the general importance to business and society. In the second part of the symposium, participants learned about the individual sta- tions in Guided AL-Smart Services. The prototypes provide digital assistants that support people, for example, in finding a parking space or when shopping. The assistant integrates system- and format-independent data from various sources when searching for a parking space. The German Federal Ministry for Economic Affairs and En- ergy (BMWi) sponsored the collaborative project in the context of the technology competition “Smart Service World – Internet-based services for businesses.” Project term was three years and ended on February 28, 2019. Project sponsor was the German Aerospace Center (DLR). s Project partners: • banbutsu GmbH • German Research Center for Artificial Intelligence, DFKI • Hager Electro GmbH & Co. KG • Institute for Communication Technology at the University of Applied Sciences, Dortmund • Scheer GmbH (lead manager) MORE INFORMATION Ħ guided-al.de CONTACT Ü Dr. Hilko Homann Research Department Agents and Simulated Reality Ö Hilko.Homann@dfki.de 4 +49 681 85775 7742 News 1_2019 I © DFKI 29

Smart Data for Mobility SD4M – Intelligent Data Management for Travel Planning N DFKI is represented at the Hannover Messe as a research partner of DB Sys- tel at the VDI Stand (Hall 2, C40). The exhibit features a presentation of the joint Smart Data for Mobility (SD4M) project being developed by DB Systel, DFKI, and other partners. In SD4M, researchers are working on a cross-sector service platform that integrates, edits, and shares data from different mobile service providers and social media data. SD4M is funded by the German Fed- eral Ministry for Economic Affairs and Energy (BMWi) for a term of three years. DB Systel used the results of the project to further develop the internal “Early Bird” early warning system, which has been in operation now for several months. Future-oriented, joint research topics will also be presented, includ- ing the recently launched SIM3S (Smart Inclusive Multi-Modal Mobility Ser- vice) project, which is funded by the Federal Ministry of Transport and Digital Infrastructure (BMVI) and aims to develop a user-centered mobility platform, specially designed for people with physical disabilities. Speakers Ingo Schwarzer from DB Systel, Fellow Chief Digitalist and head of operations in Berlin, and Dr. Sven Schmeier are making presentations on Tuesday, April 2, 2019 and Thursday, April 4, 2019, each at 2:40 - 3:00 p.m. at the VDI Speakers Corner. (Hall 2, C40). DFKI Participates in New Special Research Field “Foundations of Perspicuous Systems” The SD4M demonstrator aggregates data and informs about possible delays along the planned route of travel. MORE INFORMATION Ħ www.sd4m.net CONTACT Ü Dr. Sven Schmeier Research Department Speech and Language Technology Ö Sven.Schmeier@dfki.de 4 +49 30 23895 1815 N Saarland University, the Max Planck Institutes for Informatics and for Soft- ware Systems, and the Technical University of Dresden are partners in a new transregional collaborative research center called “Foundations of Perspicu- ous Software Systems.” Researchers want to better understand and provide a scientific foundation for computer-aided systems that self-explicate their functionalities and behaviors. Scientists call these new types of software “per- spicuous systems.” DFKI is involved in one of the 15 sub-projects of the special research area, namely the subject “Safe Handover of Control.” The handover of control between humans and machines is critical, particularly, in autonomous driving or in the mixed human-robot teams in industrial production. To ensure these proceed without incident, scientists at DFKI's Cognitive Assistants department must consider the technological sub-aspects of the handover situation. They will use various methods of human-computer in- teraction and natural language generation to develop solutions for a safe and seamless handover and to ex- plain the relevant situational aspects to the user. Descrip- tive logic-ontologies and a standard basic vocabulary will be used to characterize user- and situational aspects. Ul- timately, their aim is to make the human factors of human-machine systems more accessible for formal analysis and contribute to overall safety. MORE INFORMATION Ħ www.perspicuous-computing.science CONTACT Ü Prof. Dr. Antonio Krüger Head of Research Department Cognitive Assistants Ö Antonio.Krueger@dfki.de 4 +49 681 85775 5006 News 1_2019 I © DFKI 31

Designing Personalized Learning Environments for Students Chemnitz, and in terms of teacher training, the educational sci- ences at Leipzig University and the TU Dresden. „In order to be able to establish technology- supported mentoring in the universities on a sus- tainable basis, we must examine the eectiveness of the oers and provide concepts for structural anchoring in order to support teachers as well as the sta of the university administrations in coping with the associated challenges.“ Prof. Dr. Thomas Köhler, TU Dresden This project will also have a significant impact on the further de- velopment of digitally supported university teaching in Saxony in general, with a total of four Saxon universities participating in the joint project. MORE INFORMATION Ħ edtec.dfki.de CONTACT Ü Prof. Dr. habil. Christoph Igel Head of Educational Technology Lab Ö Edtec@dfki.de 4 +49 30 23895 1052 N The central question is: “What should design concepts that make the proven quality of individual mentoring scalable for the acquisi- tion of competencies look like?”. Eight project partners throughout Germany have formed a consortium managed by Leipzig University which will operate until March 2022, researching concepts for per- sonalized learning environments and mentoring for the students of today and tomorrow. The joint project “Personalized competence development through scalable mentoring processes – tech4comp” was launched in Oc- tober 2018 and is funded by the Federal Ministry of Education and Research under the “Innovation potential of digital higher educa- tion,” funding line with a total budget of € 7.4 million for the next 42 months. There is an extension option until September 2024; which will be funded with a further € 5.2 million in the case of ap- proval. „The project is a response to the changed realities of, and access to, learning in the digital age. We also want to take account of the diversity of our students, and use technology to enable individual accesses to study.“ Prof. Dr. Heinz-Werner Wollersheim, Manager of the joint project and holder of the professorship for General Pedagogy at Leipzig University Scientists at the Faculty of Education at Leipzig University are work- ing with colleagues from the Technische Universität Dresden (TU Dresden), the Educational Technology Lab of the German Research Center for Artificial Intelligence (DFKI), Martin Luther University Halle-Wittenberg, Chemnitz University of Technology (TU Chem- nitz), Leipzig University of Applied Sciences (HTWK Leipzig), Freie Universität Berlin and RWTH Aachen University to research how stu- dents’ learning processes can best be supported. The project fo- cusses on technology-enhanced mentoring and mentoring tools. „The interdisciplinary focus of the project enables us to access the area of student learning from a variety of directions: thus, we are opening up not only dierent study disciplines but also broad access to the way the various faculties approach methods and research.” Prof. Dr. Christoph Igel, Scientific Director of the Educational Technology Lab at DFKI The latter’s experience in supporting training, qualification and education processes with innovative software technologies and artifi- cial intelligence applications will also be used during the project. The test area comprises subjects that involve different amounts of structure: mathematics at HTWK Leipzig, mathematics-related subjects at the TU News 1_2019 I © DFKI 33

N DFKI INTERVIEW – DR. ALJOSCHA BURCHARDT Aljoscha Burchardt is responsible for strategic communicaons at DFKI Berlin. These dues include interviews, panel discussions, and lectures at public events, at associaon gatherings, and other polical venues in the capital city. He also serves as an expert member of the rcently formed Study Commission for AI (German: Enquete-Kommission) of the German Bundestag. In addion, he works as lab manager and provides content, administrave, and project acquision assistance to the head of the Speech and Lan guage Technology department, Prof. Sebasan Möller. e s s a r t S r e v i l O : o t o h P 9 What do you see as the potential applications of your re- search? When I began to study the quality of machine translation (MT) almost ten years ago, research had completely bypassed the needs of the industry. The quality assessments were automatic- ally based on comparing the output of the MT system to a human “reference translation,” which resulted in the assignment of a numerical value. Researchers loved it, but it was of minimal practical use. In several collaborative projects with language in- dustry partners since that time, we have developed a detailed error metric, which is called Multidimensional Quality Metrics (MQM). It is currently being standardized in the USA. The Di- rectorate-General for Translation (DGT) of the European Com- mission is contributing to the process. Many translation tools in use throughout the industry today are already using MQM. 9 When did your interest in Artificial Intelligence begin and how have AI processes changed since that time? I started studying computer linguistics in 1995. We have witnes- sed a paradigm change since then. Initially, we attempted to grasp the structure and meaning of language using symbolic knowledge representations, such as in the form of attribute structures, syntax trees, or logic equations. However, language is very flexible and filled with exceptions, and these approaches never returned a dividend. Today we work with data-based pro- babilities and statistical models, where words have practical meaning only in context, that is, together with the surrounding words. This approach is driving the ongoing cutting edge re- search into neural networks and deep learning. 9 What are the greatest challenges and opportunities for AI sys- tems? The systems are gradually filtering into the society and it is im- portant to help people recognize the potential, as well as the li- mitations. The emotionally loaded term “AI” is, unfortunately, somewhat counterproductive. Automation and AI actually give us the chance to reset to the zero hour, at which time we can reassess and redesign many processes and practices. 9 What are your favorite interests outside of your work as a re- search scientist? My family and when they let me, my record collection. 9 Do you see any parallels to your professional work? Most of the time, things revolve smoothly. Once in a while, ho- wever, there may be a scratch, but that doesn't push things out of the groove. 9 What are your current work projects? One project involves the integration of people with impaired vi- sion. Another is about providing knowledge and document ma- nagement support to major industrial projects along with sample process comparisons; basically, projects covering a wide range of issues. CONTACT DFKI Ü Dr. Aljoscha Burchardt Research Department Speech and Language Technology Ö Aljoscha.Burchardt@dfki.de 4 +49 30 23895 1838 News 1_2019 I © DFKI 35

NEWS IN BRIEF EIT announces new network for innovation in the manufacturing sector DFKI's Innovative Factory Systems department and the Institute for Information Systems at DFKI are part of the European consor- tium which consists of 50 partners that recently won the EIT Manufacturing competition of the European Innovation and Techno- logy Institute (EIT). The new EIT Manufacturing network is to be headquartered in Paris with an additional five Innovation Centers, so-called, Co-location Centers (CLC), to be established across Europe. DFKI represents, together with eight other German partners, the Innovation Hub CLC Central, which is based in Darmstadt and also covers The Netherlands and Belgium. DFKI is now involved in two EIT partner networks, the first being EIT Digital. More information eit.europa.eu/eit-community/eit-manufacturing Prof. Dr. Antonio Krüger is new head of Cognitive Assistants research Effective on February 1, 2019, Prof. Dr. Antonio Krüger became the new head of the Cognitive Assistants de- partment (formerly Intelligent User Interfaces), taking over from Dr. Wolfgang Wahlster. The new CEO, Prof. Dr. Jana Koehler, has set a priority focus on “INDUSTRIE 4.0” and “Energy Informatics” and will lend her support to this work. Selected Places in the Land of Ideas – Reception for winners at Bremen City Hall and Rhineland-Palatinate State Chancellery In June 2018, two DFKI projects were selected among the 100 innovative winners of the “Selected Places in the Land of Ideas” competition. The projects are “Entern – Autonomous Robots for Planetary Exploration” at the DFKI Robotics Inno- vation Center and the University of Bremen and “AlterEgo – Digital Twins for Interactive Training” at DFKI Kaiserslautern. On November 9, 2018, Dr. Carsten Sieling, the mayor of Bre- men received the state's winners – including Steffen Plan- thaber, DFKI scientist and the project leader of “Entern” – in a festive celebration at the Bremen City Hall. The permanent representative of the Chief of State Chancellery, Inge Degen, received the winners from Kaiserslautern Alter Ego and Digital Cities, along with Upcycling-Center from Neunkirchen on November 29, 2019 at the State Chancellery in Mainz. Dr. Carsten Ullrich awarded DFKI Research Fellowship In recognition of his outstanding scientific contributions and innovative implementation, Dr. Carsten Ullrich was named as a distinguished DFKI Research Fellow on November 22, 2018. Carsten Ullrich received his Ph.D. from the Department of Computer Science at Saarland University in 2008. His thesis subject was the formalization of pedagogical knowledge using AI applications for the automatic generation of learning materials. During his research stay at the Shanghai Jiao Tong University in Japan, he focused on web-based and mobile learning in adult education. As the deputy head of the Educational Technology Labs at DFKI Berlin, he was responsible for a num- ber of research projects in which the architectures for assistance and knowledge services were de- veloped and deployed. He has written more than 100 publications about learner assistance, adaptivity, modeling didactic knowledge, and personal learning environments (PLE). News 1_2019 I © DFKI 37

Research & Development Scientific Excellence and Transfer N N N Research Departments and Research Groups Kaiserslautern Site Prof. Dr. Prof. h.c. Andreas Dengel: Smart Data & Knowledge Services Prof. Dr. Paul Lukowicz: Embedded Intelligence Prof. Dr. Martin Ruskowski: Innovative Factory Systems Prof. Dr. Hans Schotten: Intelligent Networks Prof. Dr. Didier Stricker: Augmented Vision Saarbrücken Site Prof. Dr. Josef van Genabith: Multilinguality and Language Technology Prof. Dr. Antonio Krüger: Cognitive Assistants Prof. Dr. Peter Loos: Institute for Information Systems Prof. Dr. Wolfgang Maaß: Smart Service Engineering Prof. Dr. Philipp Slusallek: Agents and Simulated Reality Bremen Site Prof. Dr. Rolf Drechsler: Cyber-Physical Systems Prof. Dr. Dr. h.c. Frank Kirchner: Robotics Innovation Center (RIC) Prof. Dr. Joachim Hertzberg: Plan-Based Robot Control, RIC Branch Office Osnabrück Project Office Berlin Prof. Dr. Christoph Igel: Educational Technology Lab Prof. Dr. Gesche Joost: Interactive Textiles Prof. Dr. Volker Markl: Intelligent Analytics for Massive Data Prof. Dr. Sebastian Möller: Speech and Language Technology Living Labs Testing, evaluation, and demonstration of innovative technologies in comprehensive application scenarios Advanced Driver Assistance Systems Living Lab, Bremen Ambient Assisted Living Lab, Immersive Quan- tified Learning Lab (IQL), Innovative Retail Lab, Robotics Exploration Lab, Smart City Living Lab, SmartFactory- KL, Smart Office Space Living Lab Competence Centers Coordination of research activities in particular areas Ambient Assisted Living, Autonomous Driving, Deep Learning, Emergency Response and Recovery Manage- ment, Semantic Web, Safe and Secure Systems, Smart Agriculture Technologies, Wearable AI N N N N N N International Scientific Advisory Board Bi-annual evaluation of publically funded projects Prof. Dr. Andreas Butz, Ludwig-Maximilians- Universität, München, Chairman Leading-Edge Research DFKI is the only German institute for computer science to participate in each of the three leading-edge research clusters: Cluster of Excellence “Multimodal Computing and Interaction” funded by the German Research Foundation (DFG) Leading-Edge Cluster “Software Innovations for the Digital Enterprise” funded by BMBF European Institute of Innovation & Technology (EIT Digital & EIT Manufacturing) Research Associations Campus Automatisierung und Digitalisierung, FIWARE, Science & Innovation Alliance Kaiserslautern and others Promoting Young Talent DFKI is a founding member and core partner of the Software Campus to promote managerial talent in the IT industry Academic Chairs More than 140 former staff members have been appointed professors at universities in Germany and abroad Spin-offs 92 spin-off companies have created more than 2.500 highly skilled jobs Committees and Academies N N N DFKI is represented by its scientific directors on numerous committees and academies: Scientific and Government Committees Big Data Value Association, Brazilian Institute of Robotics (BIR), Center of Innovation Program des Japanese Ministry of Education (COI), Feldafinger Kreis, Informationstechni- sche Gesellschaft (ITG), Münchner Kreis, National Institute of Informatics (NII, Tokio), Program Committee of the Na- tional Aeronautics and Space Research Centre DLR, Steering Committee of the German Informatics Society (GI), Präsi- dium des Verbandes der Elektrotechnik, Elektronik and In- formationstechnik e.V. (VDE), Management Board of the Inter- national Computer Science Institute in Berkeley, and others Business Committees Digital Stationery Consortium, Flexible Factory Partner Alli- ance (FFPA), 5G Alliance for Connected Industries and Auto- mation (5G-ACIA), and others Scientific Academies Academy of Sciences and Literature, Berlin-Branden- burg Academy of Sciences, National Academy of Science and Engineering, German National Academy of Sciences Leopoldina, European Academy of Sciences, Royal Swe- dish Academy of Sciences, and others 9 1 0 2 , 7 h c r a M f o s A