At the new CEBIT Business Festival for Innovation and Digitization from 12 to 15 June 2018, the DFKI will present "Artificial Intelligence for People". With a new date and new concept, CEBIT stages digital transformation on four platforms: d!conomy, d!tec, d!talk and d!campus. Artificial Intelligence, Internet of Things, Augmented and Virtual Reality, Future Mobility and Human Robotics are trend topics at CEBIT, which DFKI is taking up as part of the d!tec platform in Hall 27.
In addition, there are further project results and research prototypes addressing AI research areas such as human-robot collaboration, body and motion tracking, learning systems, deep learning, tax data analytics, immersive quantified learning, smart services for everyday life, rehabilitation robotics and gender IT.
We look forward to welcoming you at several stands at CEBIT 2018 in Hanover!
The major challenges on the way to autonomous driving are: improving situational awareness, ensuring safe and reliable functioning of onboard systems, and protecting them from external attacks. Together with other research institutes and industry, DFKI is studying AI systems for use in self-driving vehicles in road traffic. Currently, specific research topics include the problems that involve environment perception, scene understanding, trajectory planning, and behavioral analysis of other road users. The Competence Center for Autonomous Driving (CCAD) bundles these research activities across fields and locations. It is the point of contact industry, research, and government and the first stop for information. For the first time, the work of CCAD is presented to a broader public at CEBIT 2018. Read more ...
Robot-assisted process automation has huge potential for use in these mass processes in the taxation sector, not only in the context of the trade tax but also for sales and customs taxes: media gaps are closed and the automated transfer of data from one application to another eliminates monotonous, routine, administrative decisions. In addition to an overview of technical developments, the possibilities of robot-assisted process automation by means of cognitive services are purposefully exhibited using the RPAi demonstrator. RPAi collects business tax records in paper form and extracts relevant information, which robots then automatically transfer to existing software systems via graphical user interfaces.
CPPS enable versatile production processes and rapid conversion of assembly lines for different product variants. BEinCPPS supports small and medium-sized companies in Europe so they can also benefit from the introduction of CPPS and cloud service platforms for machinery and manufacturing systems. The aim of the project is to increase the acceptance and use of CPPS in Europe by creating regional networks of competence centers, manufacturing companies, and local IT-service providers.
The DISTRO research network works on the technologies that facilitate and accelerate digitalization and the production processes of objects. The 13-partner consortium brings together research and business organizations to develop user-friendly tools in the areas of visual computing, 3D computer graphics as well as 3D object design and adaptation. The aim is to support companies, traders, and entrepreneurs with the implementation of new product ideas and the digitalization of manufacturing processes.
FI-NEXT facilitates the development of distributed IoT environments - from sensor systems to interactive visualization. The software components for consistent data management and real-time synchronization of application data across a large number of linked clients are given enhanced capabilities to enable the integration of IoT sensors and actuators in distributed software systems.
The aim of this collaborative project is an infrastructure implementation for the proactive support of agricultural processes using the use scenario of the silo maize harvest. A central component is the integration of data from sources that are commonly available, but until now were used in other use contexts. The data come from farm management systems, the machines themselves, public (geo) information infrastructures (e.g., Copernicus), and other outside sources (e.g., picking maps or harvest forecasts).
The CrowdHEALTH consortium develops a secure digital platform that aids health care decision making by enabling the integration of large volumes of data from different sources. DFKI's Cyber-Physical Systems department works on the intelligent assistance systems to facilitate the collection and consolidation of non-medical data that is still relevant to the patient's health record, for example, daily activities and routines or nutritional habits.
At CEBIT 2018, DFKI will present a hybrid scenario in which humans and robots work together as a team. The focus is less on mastering the technological challenges of letting people and robots work hand in hand in teams without endangering the safety of the human worker, but rather on efficiently upgrading the robotic team players in a changeable production process. The basis for this is a controllable I4.0 infrastructure at process, product and device level to support the use of heterogeneous, mobile and stationary robots for socio-technical production. The aim is to improve and expand current approaches to human-robot collaboration. Up to now, robots in hybrid teams have only supported humans selectively in individual tasks. Expanding cooperation across the entire process chain of work steps could significantly relieve workers in production or assembly of highly repetitive activities and ergonomically unfavorable motion sequences. In addition, engineering, set-up and downtimes could be shortened, production costs could be reduced and competitive advantages could be achieved.
Smart services ensure transparency in the cultivation and processing of agricultural products. Using food potato production as an example, DFKI Smart Service Engineering department shows the journey of the potato from the field to the factory and how it can be made more transparent for everyone involved – farmer, supplier, and producer and even the commodity investor. DFKI scientists demonstrate the advanced service-oriented development of the smart potato "nPotato" at CEBIT 2018, where they are also looking for partners to exploit the system for practical use.
The Federal Ministry of Education and Research (BMBF) sponsors the "Be-greifen" project with the aim of studying interactive methods to use the "merger" of the real and the digital worlds to experience relationships between experiment and theory in real time and make them somehow understandable and explorable. Success is measured as the direct reflection of the learning progress as well as system adaptations based on the interactions with learners. Applying an experiment from the basic course in physics in the field of electricity, DFKI's Embedded Intelligence department shows how augmented reality can provide learners with both sensor-based, real-time data and information about the experiment itself while it is being performed.
At CEBIT, the Embedded Intelligence research department exhibits an initial approach, which uses sensor networks deployed on the construction site, to implement automated condition detection and, ultimately, the remote management of the construction site. In this case, the sensor nodes of the network can be located in the building materials, in the clothing, for example installed in the helmet, or attached to the equipment or positioned in the construction site environment.
DFKI's Augmented Vision department is developing an innovative, fully automated motion measuring system that works in real time with monocular RGB video data and tracks several people at once in 3D. The software automatically calculates an individual 3-D skeleton and an initial 3-D position for every person in the video. The Du in 3D system's ability to track multiple people in outdoor, community, and low-quality videos taken with cell phone cameras has already been successfully tested.
The BodyAtTrack system developed at DFKI's Augmented Vision department has a lightweight modular design and is easily integrated in clothing or devices.
At CEBIT 2018, DFKI researchers are presenting a kind of bandage with integrated sensors that record and analyze the motion of the knee. This motion profile of the joint is stored directly in the system and is retrievable in real time or transmitted to the treating physician for viewing. The scientists are currently developing a novel kind of training suit (jacket and trousers) that accurately captures the motion of the entire upper torso, head, and extremities.
Jointly operated by Kaiserslautern University of Technology (TUKL) and DFKI, the new Immersive Quantified Learning Lab (iQL) defines itself as a concept and prototype workshop that connects humans and computers and creates the smart learning platform of the future. The "Living Lab" studies various technologies, for example, eye-tracking, language and gesture recognition systems, and Augmented Reality (AR) to determine how these may be practically applied in learning and working scenarios. Educational researchers and professional educators analyze the data and use it for the diagnostics of learning states and progress in learning.
The use of robotic systems in rehabilitation programs is taking on ever greater importance. The Recupera REHA project, carried out by the Robotics Innovation Center, achieved a breakthrough in the field of rehabilitation robotics: an interdisciplinary research team worked for more than three years to design an innovative, portable, full body exoskeleton that can externally support the human musculoskeletal system. Using this as a foundation, they developed a mid-term subsystem solution for the rehabilitation of stroke patients.
Launched in April 2017, the aim of the collaborative project SMILE is to highlight the opportunity and provide for a sustainable increase in the percentage of females in the computer sciences. On the basis of its high value in today's society, the target group should be afforded attractive access to the topic of smart environments and continuously encouraged. The Bremen Ambient Assisted Living Lab (BAALL) of DFKI serves this aim as an experimental learning environment. The course developed in SMILE is designed to address problems in the area of Smart Environment in a playful and descriptive way. As the course progresses, students acquire the required computer skills to work on their own solutions. In addition, participants are brought into contact with women from the computer science professions who can serve as role models.