DFKI will present current industry-related research results from a range of IT topics in the "Research & Technology" trade fair area, Hall 2, stand C59 including: human-robot collaboration (HRC), explainability of AI systems, digitalization 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 training demonstrator of the Mittelstand 4.0 Competence Center Kaiserslautern on the stand of the Federal Ministry for Economic Affairs and Energy (Hall 2, C28). This is a playful demonstration of how digitalization works in production.
In the 5G Arena in Hall 16, D38, DFKI will present research approaches for the development of a unified industrial 5G communication 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.
An overview of the DFKI exhibits at Hannover Messe can be found online:
Current DFKI News (ePaper): uk.dfki.de/DFKI_NEWS_ePaper/epaper-DFKI_News_43_e
The exhibit descriptions in detail:
Hall 2, C59, DFKI main stand
CLAIRE – A European vision for Artificial Intelligence
CLAIRE is a European initiative in the field of Artificial Intelligence to bring research, industry, and civic partners closer together, to represent common interests, and to make policy proposals at the European and national levels. CLAIRE has grown rapidly since its establishment last summer and now relies on a strong network of supporters and research institutes across Europe. The next steps include transitioning the initiative to an organization with the appropriate structures to better meet the challenges expressed in the CLAIRE vision: “Excellence across all of AI — for all of Europe — with a human-centred focus.” In addition to headquarters, several CLAIRE offices, national and regional competence centers for AI as well as a CLAIRE hub, as a central point of contact in Europe, should be established. The cooperation of research and industry is very important for the further development of the initiative. Consequently, we invite the industry partners of DFKI to learn about the cooperation opportunities with CLAIRE and look forward to your visit with us at stand C59, in Hall 2 at the Hannover Messe.
More information: https://claire-ai.org
ConWearDi – Internet of Things at the digitalized building site
At this year's Hannover Messe, the Embedded Intelligence department presents ways in which automated condition monitoring, remote management, and predictive maintenance may be implemented at a construction site. Intelligent networked sensors in construction materials, in the vicinity of the building site, or in the machines support the deployed AI systems. The ConWearDi project develops innovative, technology-based services driven by digital construction processes and connects different value chains in the context of the construction industry.
More information: conweardi.de
Hybrid-iT – Hybrid and intelligent human-robot collaboration in aircraft construction
DFKI, together with partners Airbus Operations, Broetje Automation, EngRoTec, and The Captury, developed a technology demonstrator for scenarios in hybrid manufacturing in the aircraft construction industry. The demonstrator represents the results of project “Hybr-iT – Hybrid and intelligent human-robot collaboration,” which was funded by the Federal Ministry of Education and Research (BMBF). Partners at the DFKI stand (Hall 2, C59) are exhibiting how two people and six robots jointly master manufacturing tasks as a hybrid team. The robots perform the jobs that are non-ergonomic, repetitive, or physically strenuous for people, for example, the seating and sealing of rivets in an aircraft body or the assembly of the cable channels in the wings. The robots “organize around the humans,” achieving the freedom and flexibility to complete their production schedule.
More information: hybr-it-projekt.de
HyperMind – The anticipating textbook
Digital systems have long since become a part of daily life, including 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. The anticipatory textbook from project HyperMind at the Immersive Quantified Learning Lab (iQL) is a dynamic-adaptive, personal textbook that helps enable individual learning. The static structure of conventional books is broken down, the book content divided into portions and, ultimately, the resulting knowledge blocks are associatively linked.
More information: www.iql-lab.de
AI technology detects physical strain at the workplace
Hitachi, Ltd. and DFKI have jointly developed an AI-based technology to measure the physical strain of workers with a sensor suit. The system detects and quantifies physical stress in real time and informs users of incorrect posture and unergonomic movement patterns. DFKI and Hitachi will present the technology at the Hannover Messe in Hall 2, stand C59. An analysis of the extent of their physical strain helps to increase the safety of employees and protect their health. Traditional approaches use stationary cameras to detect and record worker activity. However, this approach does not ensure a quantitative and stable assessment of physical stress: Cameras are limited in their measuring range, and when taking pictures in production facilities or outdoor facilities, there are often blind spots in which the worker's movement profiles are not recorded or only partially recorded.
More information: www.dfki.de/en/web/news/detail/News/hitachi-dfki-ai-sensor-suit
Mobile, robust, and adaptable – New generation of autonomous space robots
Space robots today are mostly passive observers and controlled by people back on Earth. Soon, however, they will be operating independently under extreme conditions for long periods. The DFKI Robotics Innovation Center develops innovative hardware and software concepts and tests them in a framework of analog missions here on Earth to ensure the demanding requirements on these systems can be met in space. Researchers are presenting their research findings at the DFKI stand (Hall 2, C59) at the Hannover Messe 2019. In future space missions, robots will be asked to perform ever more complex tasks: on alien planets, they are to explore hard-to-reach areas such as caves and craters, build infrastructure for future base camps, perform orbital maintenance and repair work on satellites, or remove orbiting space debris. Earth-based remote control of the systems is impractical simply because of the communication delay to distant celestial objects. Future space robots must therefore be capable of independent actions.
More information: www.dfki.de/ric
Self-checking systems – Anomaly detection and correction with SELFIE
Computer systems need to be checked for correctness prior to market launch. However, because of time constraints and the complexity of today's computers, a full verification is often not possible. In the SELFIE project at DFKI's Cyber-Physical Systems department, headed by Prof. Dr. Rolf Drechsler, a fundamentally new approach is being developed that allows systems to self-verify after production and delivery. Researchers are presenting the prototype of a self-verifying system at the Hannover Messe. In Project SELFIE, scientists at DFKI are breaking new ground in how to approach system verification. Equipping devices with additional hardware and software enables them to complete all unfinished verification tasks while in use by the end users. The checks can be accomplished much faster subsequent to delivery since they can be limited to the actual functionality, whereas the verification performed in the design phase must take all possible use scenarios into account. The manufacturer can react quickly if the self-check reveals errors in the system, either with updates, the disabling of certain functionalities, or if necessary in the worst case, a recall.
More information: www.dfki.de/cps
XAI 4.0 – Explainable Artificial Intelligence for INDUSTRIE 4.0
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 productivity gains in the manufacturing sector – assuming a successful operationalization 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. “XAI 4.0” demonstrates numerous machine learning post-hoc explanations for industrial use cases such as explanations with local and global surrogate models or case-related visual as well as counterfactual explanations where the target audience consists of subject matter experts.
More information: www.dfki.de/iwi
Hall 16, D38, 5G Arena
Project TACNET 4.0 – 5G as a pioneer for INDUSTRIE 4.0
The Intelligent Networks research department introduces its research on 5G network optimization, self-healing, security, and performance gained in the project “TACNET 4.0 – Highly reliable and real-time capable 5G networking for INDUSTRIE 4.0.” The tactile internet for production, robotics, and digital transformation in industry will be presented in the 5G Arena (Hall 16, D38). The Federal Ministry of Education and Research (BMBF) funds the TACNET 4.0 project with the goal of developing a standard industrial 5G communication 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 wireless 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 remote control of mobile machines or robots deployed to dangerous environments or in other cases where no local operators are available.
More information: www.tacnet40.de
Hall 8, D18, SmartFactory KL joint stand
Artificial Intelligence in manufacturing – Human-centric support
At the joint stand of the SmartFactory KL technology initiative and DFKI, concrete application scenarios for tomorrow's factory can be experienced today. The partner consortium at SmartFactory KL demonstrates how this technology is implemented using its INDUSTRIE 4.0 production plant at the Hannover Messe on April 1 - 5, 2019. Several scenarios are used to illustrate how quality assurance, condition monitoring, and anomaly detection can be improved through AI. The joint exhibit stand of SmartFactory KL and German Research Center for Artificial Intelligence (DFKI) is located in Hall 8, stand D18. “Integrated Industry – Industrial Intelligence” is the theme of Hannover Messe 2019 and Artificial Intelligence is to be showcased there as the next logical step in the context of INDUSTRIE 4.0,” said Prof. Dr. Martin Ruskowski, Head of Innovative Factory Systems research department at DFKI. This is the topic of the presentation by SmartFactory KL, DFKI, and 15 partner firms at the Hannover Messe in Hall 8, D18. The aim is to show a range of entirely new possibilities in the field of manufacturing in the future based on data from networked machines. “As knowledge bearers, people will still play a key role in the future because, while AI collects and evaluates huge data volumes, a person is ultimately responsible for deciding the outcomes,” said Ruskowski while adding: “The deployment of AI enables replication of the human senses in ways that facilitate better cooperation between machines and operators.”
More information: www.smartfactory.de
Hall 2, C28, stand of the Ministry for Economic Affairs and Energy (BMWi)
INDUSTRIE 4.0 training demonstrator
The training demonstrator at the Mittelstand 4.0 Competence Center Kaiserslautern illustrates, in an entertaining way, how digitalization works in manufacturing. Visitors to the BMWi stand (Hall 8, C28) at Hannover Messe can produce an individual game cube in batch size 1. 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 approach 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 SmartFactory KL (coordinator), the German Research Center for Artificial Intelligence (RD Innovative Factory Systems and Institute for Information Systems), Technical University of Kaiserslautern, and the Institute for Technology and Labor, ITA (German: Institut für Technologie und Arbeit).
More information: kompetenzzentrum-kaiserslautern.digital
Hall 2, C40, stand of VDI (Association of German Engineers)
Smart Data for Mobility SD4M – Intelligent data management for travel planning
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. In SD4M, researchers have been working on a cross-sector service platform that integrates, edits, and shares data from different mobile service providers and social media data. SD4M has been funded by the German Federal 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, including the recently launched SIM3S (Smart Inclusive Multi-Modal Mobility Service) 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.
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