Alle Publikationen
2018
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(2018) : The Flying Laptop Satellite as a Low-Threshold Testbed for Computing in Orbit In: ARCS: ARCS Workshop 2018; 31th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE, S. 1-5. Online verfügbar unter https://ieeexplore.ieee.org/document/8385438/
Abstract: Flying Laptop (FLP) is an active satellite mission by the University of Stuttgart. For payload control and data management the satellite has a dedicated payload on-board computer (PLOC) which is based on an SRAM FPGA. The FPGA can be configured at any time with any configuration without endangering the satellite itself. This enables the Flying Laptop to be offered as a testbed for in-orbit testing of radiation mitigation designs in computing application with a low barrier for entry. This also extends to opportunities to execute educational experiments in orbit. Furthermore one of the payload subsystems consist of a software defined radio (SDR) transmitter in the 2.4 GHz amateur radio band. While currently being used for payload data downlink, it is also available as an operational testbed for experiments in space communication.
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(2018) : A Concept for Productivity Tracking based on Collaborative Interactive Learning Techniques In: ARCS: ARCS Workshop 2018; 31th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE, S. 1-8. Online verfügbar unter https://ieeexplore.ieee.org/document/8385431/
Abstract: The academic success of individual students differs widely and it depends on various factors, ranging from financial to social and to health aspects. In this article, we propose a concept for a novel productivity tracking system that provides the basis for a self-assessment of academic behaviour and that can be used by students to support their academic success. The development of such a system requires interdisciplinary efforts, most of them located in the field of collaborative interactive learning (CIL) that is grounded on a socio-technical system perspective. The system is interactive since it is based on bidirectional communication, collaborative in the sense that it uses students, other students, and external sources such as the Internet for generation of knowledge, and learning in the sense that it continuously and autonomously acquires knowledge. It is further self-organised as it decides about interaction partners and self-adaptive in terms of modifying its behaviour according to changing conditions.
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(2018) : Self-integrating Organic Control Systems: from Crayfish to Smart Homes In: ARCS: ARCS Workshop 2018; 31th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE, S. 1-8. Online verfügbar unter ARCS Workshop 2018; 31th International Conference on Architecture of Computing Systems
Abstract: Survival in complex environments, for both natural and artificial systems, requires behavioural adaptation to common changes and behavioural innovation to face the unexpected. The challenge here is to produce a vast variety of behaviours, each adapted to current circumstances, while relying on a limited amount of resources (e.g. sensors, controllers and actuators), within a 'suitable' time-frame. Drawing inspiration from neural and behavioural studies on crayfish, this position paper brings to the fore several key design features that enable organisms to address this challenge. It then proposes a similar design for artificial controllers, based on: i) an extensible set of reusable control units; and, ii) a goal-driven, context-sensitive (self-)integration process for assembling control units into a wide variety of integrated system controllers. Pre-integrated sub-controllers can also be merged, to improve efficiency while avoiding conflicts. The proposal is illustrated via a proof-of-concept implementation for the smart home, where users can add and remove goals and devices at runtime and the controller is adapted accordingly. This study brings us closer to our long-term objective of defining reusable methodologies and platforms for the development of self-* systems running in complex unpredictable environments, notably including smart homes, cities, vehicular networks and electrical grids, merged via the Internet of Things, and of People.
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(2018) : Toward an Organic Computing Approach to Automated Design of Processing Pipelines In: ARCS: ARCS Workshop 2018; 31th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE, S. 1-8. Online verfügbar unter https://ieeexplore.ieee.org/document/8385430/
Abstract: This paper aims to propose a novel Organic Computing concept to dealing with the overall issue of automated design of processing pipelines. It is outlined how several methods standing under the Artificial Intelligence umbrella are combined to form a technique that can be realized by Organic Computing systems to strengthen their self-configuration property by implementing self-optimization and self-learning techniques. Three envisioned application scenarios are discussed which will serve as first testbeds for the proposed architecture in a future research project: The automated design of 1) a data pre-processing observer component for the refurbishment and the analysis of insufficient quality data to improve the learning ability of employed machine learning algorithms, 2) an image processing pipeline for industrial imaging systems, and, 3) production lines in manufacturing scenarios.
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(2018) : Real-time Intelligent Tele-Care Assistance Systems In: Institute of Electrical and Electronics Engineers: Broadband Coverage in Germany; 12th ITG-Symposium: Berlin, Germany: VDE Verlag GmbH, S. 1-4. Online verfügbar unter https://ieeexplore.ieee.org/document/8385230/
Abstract: The combination and fusion of technologies and procedures from "Ambient Assisted Living" (AAL), "Human-Technology Interaction" (MTI) and "eHealth" to target a real-time capable sensor data analysis-framework is the re-search focus of the "fast care"-project. This project is a part of the combined "fast" consortium at the Technical University of Dresden, which consists of more than 25 project parts working on the Next Generation 5G haptic internet. "Fast care" is focused on haptic care in the home environment. Measurements and observations by an adhoc-networked, real-time sensor infrastructure are performed with the aim of creating an integrated situation picture for direct interaction with an actor infrastructure or for the generation of a future forecast - with a latency period of less than 10 ms.
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(2018) : A Rule-Based Approach for Self-Optimisation in Autonomic EHealth Systems In: ARCS: ARCS Workshop 2018; 31th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE, S. 1-4. Online verfügbar unter https://ieeexplore.ieee.org/document/8385432/
Abstract: Advances in machine learning techniques in recent years were of great benefit for the detection of diseases/medical conditions in eHealth systems, but only to a limited extend. In fact, while for the detection of some diseases the data mining techniques were performing very well, they still got outperformed by medical experts in about half of the tests done. In this paper, we propose a hybrid approach, which will use a rule-based system on top of the machine learning techniques in order to optimise the results of conflict handling. The goal is to insert the knowledge from medical experts in order to optimise the results given by the classification techniques. Possible positive and negative effects will be discussed.
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(2018) : Towards Proactive Health-enabling Living Environments: Simulation-based Study and Research Challenges In: ARCS: ARCS Workshop 2018; 31th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE, S. 1-8. Online verfügbar unter https://ieeexplore.ieee.org/document/8385433/
Abstract: Nowadays, information and communication technology (ICT) has become a key driver for future health-enabling and ambient assisted living technologies. These future health-enabling living environments proactively anticipate the inhabitants' needs and adapt their behaviour accordingly. They further continuously monitor the behaviour of the inhabitants and may call in support in suspicious cases. In this article, we present an architectural blueprint for such a proactive living environment and highlight the corresponding challenges for research in the field. Afterwards, we present a simulation as experimental platform for learning the daily routine of inhabitants of a flat-sharing community of senior citizens. The experimental evaluation highlights that probably unusual behaviour of persons can be detected using a probabilistic approach, which may serve as an indicator for external support.
2017
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(2017) : Automation beyond Self-Driving - The Role of Automotive Service Robots for Automated Mobility Systems In: VDE: AmE 2017 - Automotive meets Electronics; 8th GMM-Symposium: Berlin, Germany: VDE Verlag GmbH, S. 1-6. Online verfügbar unter https://ieeexplore.ieee.org/document/8335222/
Abstract: Since the invention of the first modern automobile, dated back in 1886 with the Benz Patent-Motorwagen, cars have experienced a continuous and endless evolution. This trend is still currently ongoing but, despite a tremendous technical improvement, during the last century cars have always been conceived as a means of transportation. Fast, reliable, efficient, ecological and even self-driving but the main purpose has always been transportation: now, with the arrival on the road of the Internet of Things (IoT), cars are next to a major conceptual revolution. This paper introduces in fact the concept of car as a service: it will offer a preliminary description of how sensors, actuators and radio-devices are going to transform these vehicles into a means to provide multiple services - not only transportation - both to the passengers and to the community, within the bigger framework of the Smart Cities.
Keywords: ieee, ieee (VDE VERLAG Conferences) -
(2017) : The newest Road Revolution: Car as a Service In: VDE: AmE 2017 - Automotive meets Electronics; 8th GMM-Symposium: Berlin, Germany: VDE Verlag GmbH, S. 1-4. Online verfügbar unter https://ieeexplore.ieee.org/document/8335223/
Abstract: Since the invention of the first modern automobile, dated back in 1886 with the Benz Patent-Motorwagen, cars have experienced a continuous and endless evolution. This trend is still currently ongoing but, despite a tremendous technical improvement, during the last century cars have always been conceived as a means of transportation. Fast, reliable, efficient, ecological and even self-driving but the main purpose has always been transportation: now, with the arrival on the road of the Internet of Things (IoT), cars are next to a major conceptual revolution. This paper introduces in fact the concept of car as a service: it will offer a preliminary description of how sensors, actuators and radio-devices are going to transform these vehicles into a means to provide multiple services - not only transportation - both to the passengers and to the community, within the bigger framework of the Smart Cities.
Keywords: ieee, ieee (VDE VERLAG Conferences) -
(2017) : Pick Again: Self-Adaptive Warehouse Commissioning: ARCS 2017; 30th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE, S. 1-7. Online verfügbar unter https://ieeexplore.ieee.org/document/7948555/
Abstract: Picking in warehouses represents a central process for mail order businesses. It has a major impact on the required investments by the business and the speed of delivery to the clients. In fact, due to the steady rise in expectations regarding delivery times - even private households receive goods on a same-day-delivery basis, nowadays - ongoing optimisation efforts are rather important. They are all the more necessary, as the economic environment changes rapidly, which includes emerging or receding trading channels as well as the generation of vast amounts of sales and usage data. These dynamics, in turn, equally challenge traditional optimisation approaches and monolithic IT systems. Therefore, in this collaborative project between academia and industry, we have spatially re-modelled an existing small parts store, modelled the workers, dollies, and goods, and optimised various aspects such as the chosen routes and storage locations of the goods. Altogether, we achieved a significant increase in efficiency: The picking process yielded 14% more picks per time and the walking distance was reduced by 37%. Our agent-based, and Q-learning-based approach lends itself well for adapting to changes in the environment as well as changes in the clients' shopping behaviours.
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(2017) : Overview of worst case execution time analysis in single- and multicore environments: ARCS 2017; 30th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE. Online verfügbar unter https://ieeexplore.ieee.org/document/7948565/
Abstract: In safety-critical real time systems validation and verification of timings are of utmost importance. Correct behavior of both - hardware and software - need to be guaranteed for a real time system (RTS) to be certified for the usage in automotive and/or avionic domain. The calculation of an upper bound of a task's worst case execution time (WCET) is required. In the literature several different approaches for finding more or less sharp upper bounds exist. The statical approach creates knowledge of path execution and possible execution times by investigating source or binary code and virtually running tasks in hardware models. Contrary, dynamic estimations measure various execution times of tasks directly on hardware. Hybrid techniques try to merge benefits of both approaches. In this paper a brief overview of various WCET estimation techniques is presented. As current and future computer architectures tend to use multiple computation cores, this paper also focuses on WCET estimation techniques in multicore environments.
2016
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(2016) : SmartWorkbench: Toward Adaptive and Transparent User Assistance in Industrial Human-Robot Applications In: VDE: Proceedings of ISR 2016: 47st International Symposium on Robotics: Berlin: VDE Verlag GmbH, S. 1-8. Online verfügbar unter https://ieeexplore.ieee.org/document/7559127/authors
Abstract: With the increase in customized production scenarios with small batch sizes research on human-robot working cells gains significance. We present a Smart Workbench that allows for adaptive user assistance in industrial human-robot use cases through (1) monitoring the user condition and (2) providing multi-modal information about the process and the robot intention. We further show results from a first study regarding the usefulness of biofeedback for workload estimation.
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(2016) : Control and Analysis of a Therapeutic Massage Robot: A Milestone of Human-Robot in Physical Contact In: VDE: Proceedings of ISR 2016: 47st International Symposium on Robotics: Berlin: VDE Verlag GmbH. Online verfügbar unter https://ieeexplore.ieee.org/document/7559129/
Abstract: A therapeutic massage robot is developed and used to perform therapeutic massage. Impedance control in Cartesian spaces is properly designed to realize different massage techniques. To evaluate the feelings of relaxation for those subjects being massaged with more quantitative index, electrocardiography (ECG) of subjects is measured before and after massage manipulation. The features of heart rate variability (HRV), including mean HR, SDNN, RMSSD and pNN50, are extracted and analyzed to evaluate the effectiveness of robotic massage. Comparison between robotic massage and massage by therapist is conducted in the experiments. According to the experimental results, mean HR decreases, whereas SDNN, RMSSD, pNN50 increase. HRV increased in both massage groups, showing the relaxation trend after robotic massage. The result gives a scientific clue that therapeutic massage is feasible to realize on a robotic massage robot.
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(2016) : Modularization of skill ontologies for industrial robots In: VDE: Proceedings of ISR 2016: 47st International Symposium on Robotics: Berlin: VDE Verlag GmbH, S. 1-6. Online verfügbar unter https://ieeexplore.ieee.org/document/7559114/
Abstract: With industrial robots ready to take the next step in mastering manufacturing tasks new approaches to reduce the programming effort are needed. This is achieved by introducing skills as robot "know-how" and using them as a higher abstraction level of robot instructions during programming. The skills are reusable items providing motion control and rich declarative descriptions of complex robot capabilities. Storing the skills requires an adequate knowledge representation model that enables reuse and reasoning on skills and simplifies knowledge management. In this paper we report on development of a skill representation model and its implementation in a knowledge base. The developed model is effectively a class hierarchy of the skill concepts implemented in a modularized ontology structure. The resulting model clarifies the intrinsic concepts of a skill and presents a module structure that enables the future development and reuse of skills in general.
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(2016) : Context-aware Planning by Refinement for Personal Robots in Smart Homes In: VDE: Proceedings of ISR 2016: 47st International Symposium on Robotics: Berlin: VDE Verlag GmbH. Online verfügbar unter https://ieeexplore.ieee.org/document/7559161/authors
Abstract: The idea of integrating robots and smart environments is becoming more popular. An important challenge for robotics and large advanced applications, such as Ambient Assisted Living, is to enable robots to seamlessly operate as part of smart spaces.They evolve in an unpredictable and highly dynamic environment where context information change quickly and where smart devices can join or leave it at anytime. In this situation, context-aware task planning is a key enabler. Actually, as the environment evolves, plans can become outdated, putting robots in blocking situations. Currently, few planners are able to consider smart spaces constraints during execution phase. In this paper, we propose a novel planning approach called DHTN (Dynamic HTN) based on HTN (Hierarchical Task Networks) planner. DHTN is able to generate and adapt the plan at execution and has the capability to smartly probe the environment by exclusively querying devices that provide useful data. Our approach was implemented and evaluated through simulation and a real life scenario using Nao robot in a smart office.
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(2016) : What Older Adults would Like a robot to Do in Their Homes - First results from a User Study in the Homes of Users In: VDE: Proceedings of ISR 2016: 47st International Symposium on Robotics: Berlin: VDE Verlag GmbH. Online verfügbar unter https://ieeexplore.ieee.org/document/7559131/
Abstract: The paper presents a first analysis of user trials where for the first time a service robot was set free in the home of users. Users were provided with basic robot functionalities such as navigation, grasping objects from the floor, a series of entertainment functions such as listening to radio or books, a physical fitness application, and communication functions. Users could freely select what to do and have been questioned on what functionality would help them to stay longer at home and live independently.
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(2016) : May I be your Personal Coach? Bringing Together Person Tracking and Visual Re-identification on a Mobile Robot In: VDE: Proceedings of ISR 2016: 47st International Symposium on Robotics: Berlin: VDE Verlag GmbH, S. 1-8. Online verfügbar unter https://ieeexplore.ieee.org/document/7559109/
Abstract: Mobile robots following and guiding stroke patients during their rehabilitation program are in the focus of our research in rehabilitation robotics. To be able to act autonomously, it is crucial for the robot to extract long and precise movement trajectories of the patients. But already keeping track on one specific person in a crowded dynamic environment is inherently hard, since multi-sensor tracking as well as appearance-based re-identification are challenging tasks in realworld environments. Therefore, we aim for developing a coupled person tracking system that combines user tracking by spatial proximity with appearance-based user recognition. We analyzed all subcomponents of such a system and identified four essential parts, that significantly influence the overall performance. We show, that it is essential, to (1) accurately detect all persons in scene, (2) track people as long as no ambiguities occur, (3) visually re-identify the user otherwise, and (4) reduce the search space for re-identification to just relevant hypotheses using spatial proximity as criterion. In our experiments, we show, that by addressing all these aspects, our system significantly outperforms each approach, that excludes just one of these important parts.
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(2016) : Model Predictive Contact Control for Human-Robot Interaction In: VDE: Proceedings of ISR 2016: 47st International Symposium on Robotics: Berlin: VDE Verlag GmbH. Online verfügbar unter https://ieeexplore.ieee.org/document/7559128/
Abstract: For shared human-robot workspaces and safe physical human-robot interaction, robots have to react adequately to intended and unintended contacts with their environment. In this contribution, a Nonlinear Model Predictive Control approach is presented that allows to move the robot end-effector along Cartesian trajectories while at the same time the robot reacts compliantly to contacts based on the estimated contact force. The impairment of the trajectory following task during contacts is minimized by exploiting the robot redundancy. The controller is based on the kinematic robot model. That means no exact knowledge of the robot dynamics is required and the approach is applicable to both fixed-base and mobile manipulators. In contrast to classical control strategies, joint constraints and self-collisions can be directly considered. In order to reduce the amount of unintended contacts, the control approach can also be combined with a collision avoidance extension. The developed algorithms are validated in experimental results on a KUKA LWR IV.
2015
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(2015) : Public Space Ambient Intelligence Systems: Benefits, Approaches and Challenges In: ARCS: ARCS 2015 - The 28th International Conference on Architecture of Computing Systems. Proceedings: Berlin: Axel Springer SE, S. 1-6. Online verfügbar unter https://ieeexplore.ieee.org/document/7107106/
Abstract: Modern public shared spaces offer a wide range of business and social functionalities. While they need to be efficiently operated, offering a secure environment is a prime objective. Manifold sensors and actuators, such as public lamps, surveillance systems or emergency phones, have been utilized in order to achieve this goal. Lights, cameras and a variate number of other sensors have been dealt with as discrete components. The problem may be looked at generically in solving the spatiotemporal requirements of monitoring the complete space, but plenty of factors should be carefully considered for feasible solution. The paper looks into utilizing the existing infrastructure within shared spaces, such as public lampposts for establishing a smart monitoring and management sensor-actuator networks or what we call public space Ambient Intelligence (PSAmI). We do this by presenting an appropriate system organization for such systems that is based on a real public space, Albert Park, NZ. Furthermore, we discuss the potential benefits of the integration of heterogeneous sensors and actuators. Afterwards, we explore the possible configurations for the lamp posts with a special focus on the camera component. Also, we identify the research challenges for realization of a PSAmI system.
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(2015) : Social Driving in Connected Car Environment In: VDE: Proceedings of European Wireless 2015; 21th European Wireless Conference: Frankfurt am Main, Germany: VDE, S. 1-6. Online verfügbar unter https://ieeexplore.ieee.org/document/7147682/
Abstract: Considering how the number of smartphones have increased and also how social networks became part of our daily life, it is predictable that social network driven services are about to dominate the near future. It is also noticeable that more and more external devices are involved in different type of IT solutions. These are smart watches, smarthome devices and even transportation devices. Furthermore, different smart city concepts are also becoming more and more popular. In this paper, we propose a mobile application based smart transportation solution, called Social Driving that combines the smart city concept with green transportation. Social Driving is based on our VehicleICT framework that is also introduced in this report. The base idea is that drivers can monitor different parameters of their cars and driving style, such as fuel consumption and CO2 emission, furthermore, they can compare these values with other drivers using similar cars and similar engine types. The solution creates different statistics and as a rewarding system motivates people to use their cars more efficiently. We describe architecture of the social driving concept, show and elaborate different measurement results derived from test drives and discuss the effectiveness of the system.
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(2015) : YouQoS - Combining Quality of Service with Network Neutrality: Broadband Coverage in Germany. 9th ITG Symposium. Proceedings: Berlin, Germany: VDE, S. 1-6. Online verfügbar unter https://ieeexplore.ieee.org/document/7109502/
Abstract: Broadband Internet connectivity is often limited by the last mile, which's average achievable data rate is rising only slowly. Quality of Service (QoS) measures to improve on existing lines may easily violate regulatory rules for privacy and network neutrality. YouQoS is a concept for user-controlled traffic management, which preserves privacy and network neutrality, while offering supreme Quality of Service especially in downstream direction. The idea is that users provide information on general preferences and situation-specific needs that an arbiter in the network uses to send flow configuration commands to the respective access network equipment. The arbiter, called the YouQoS Server, is a broker that on the one hand prevents user-provided private information from leaking, and on the other hand prevents the creation of malicious commands towards network operator equipment. In future Software-Defined Access Networks (SDAN) the only remaining physical devices will be simplified Software- Defined Network (SDN) Datapaths. To investigate options for YouQoS usage together with those SDN Datapaths, the YouQoS Box was defined. It implements all necessary YouQoS functionalities, like packet inspection, QoS marking, and shaping, in order to identify the most efficient function splits. With this device, it will be possible to add advanced functionality and full visibility to QoS experimentation. The YouQoS Box might even be added to current access networks between Broadband Remote Access Server (BRAS) and DSL Access Multiplexer (DSLAM) to provide the YouQoS service.
2013
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(2013) : Fantasy and Reality ?? Electric Motors within the Human Body In: VDE: Innovative Small Drives and Micro-Motor Systems; 9. GMM/ETG Symposium: Nuremberg, Germany: VDE, S. 1-5. Online verfügbar unter https://ieeexplore.ieee.org/document/6624102/
Abstract: What arose from the realm of fantasy just a few decades ago is reality today thanks to available micro drives. Advances in the miniaturization of technical systems have made this possible. Today, micro motors are already routinely used by physicians for carrying out demanding examinations and treatments in the human body. The following article discusses the state of the art exemplified by two motorized cardiac catheters and a swallowable capsule which performs radiological examinations for early detection of colorectal cancer. The article is rounded off by considering the pros and cons of autonomous robots in the human body.
2007
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(2007) : Managing Context Rules in Mobile Devices: 4th International Forum on Applied Wearable Computing 2007: Tel Aviv, Israel: IEEE, S. 1-12. Online verfügbar unter https://ieeexplore.ieee.org/document/5760482/
Abstract: Abstract: An essential aspect of Mark Weiser's vision for ubiquitous computing is that computers become "invisible", demanding very little attention of their users. For this to happen, computers should be able to establish a shared understanding of the conceptual and social settings in which they operate, i.e., they should be context aware. This paper addresses one aspect of contextawareness, namely the management of context rules in mobile and wearable devices. Context rules are employed to predict higher-level human situations (activities), and to actuate desirable operations which are suitable to these situations. Because context rules are application specific, they are defined by application developers and users. So far, little consideration is given in the literature to take the habit (experience) of users into account to dynamically generate and manage context rules. In this paper we will provide a framework to associate decision events (signifying the actions performed by a user) with numerous context types which describe a situation of interest. From an aggregate of decision-context associations we generate context rules which enable mobile devices to proactively provide useful services.
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(2007) : The application of wearable computers for providing situational awareness in a multirobot environment: 4th International Forum on Applied Wearable Computing 2007: Tel Aviv, Israel: IEEE, S. 1-6. Online verfügbar unter https://ieeexplore.ieee.org/document/5760492/
Abstract: Recently we are witnessing the adoption of autonomous robotic platforms with cooperation abilities by an increasing number of units in modern armies (IDF among them). Advanced command and control systems are required to operate such platforms efficiently and safely. Furthermore, when used by infantry troops, the command and control hardware should be comfortable to carry and operate "on the move". Beyond state of the art technologies, the development of such systems requires further research in several fields: wearable computing, mobile access networks and video transmission over specialized networks, power supplies, etc. In this paper we present an experimental system that we developed for the needs mentioned above.
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(2007) : wearIT(at)work - Towards Real Life Industrial Applications of Wearable Computing: 4th International Forum on Applied Wearable Computing 2007: Tel Aviv, Israel: IEEE, S. 1-12
Abstract: Wearable computing means a paradigm shift: instead of working at the computer users are supported by computing systems in their primary tasks. Currently wearable computing is still a technology of niches and in a laboratory stage. However, with wearIT@work a project dedicated to applications was launched by the European Commission (EC IP 004216). The first 30 months of this project are over and industrial demonstrators, evaluations and results are available. In this paper results of the second development cycle are presented. The influence of the strong end user involvement in the design process led to results in the four application domains of maintenance, production, healthcare and emergency response with a maturity beyond simple prototypes.
Keywords: ieee, ieee (VDE VERLAG Conferences)