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Research Projects (187)

MIAAS

With MIAAS, a European open source platform for decision making based on mobility data is being developed. Key activities are the consolidation and exploitation of shared mobility and public transport data as well as the exploration and development of the required technical infrastructure and interfaces. In particular, a mobility intelligence dashboard will be developed and tested. One research focus is on end user development for machine learning. The goal is to support cities in establishing shared mobility together with public transport as a central component of their mobility strategy. MIAAS will simplify the planning of shared mobility services, improve the integration with public transport and facilitate the data exchange with mobility providers. All core components of MIAAS will be provided as open source. In addition, multimodal data sets for six focus cities will be published. In the future, standardized interfaces will help cities to request data directly from providers and to simultaneously provide regulatory information. Results are to be disseminated at conferences, trade fairs, workshops and in exchange with partners in Europe. Code, data and guidelines are to be published on a website in order to establish a mobility intelligence community in the mid-term. Scientific publications are planned in the fields of end user development, machine learning and multimodal mobility behavior. In addition, a productization by project partners is intended.

Project management at the H-BRS

Prof. Dr Alexander Boden Paul Bossauer
SmartBots - Autonomous control of mobile robots using computer vision algorithms and modern neural network architectures

Die Hochschule Bonn-Rhein-Sieg - einfach ausgezeichnet. Studieren Sie bei uns! Es erwartet Sie ein praxisorientiertes Studium auf der Basis aktueller Forschungsergebnisse.

Information Maximisation Drone Control

Controlling a robotic system to perform a certain set of actions in an unknown and dynamic environment is easy if you have a perfect model of that environment. However, in the real world, such models are unavailable. In this research we are tackling the challenge of deploying an information maximization control strategy for Unmanned Aerial Vehicles (UAV) by accurately sensing and modelling dynamic environments using sensors and multi-sensor fusion methods.

Safe Airframe Inspection using Multiple UAVs (SAFEMUV)

Assuring the safety of teams of autonomous unmanned aerial vehicles (UAVs) that carry out a safety-critical inspection task collaboratively is very challenging due to uncertainties and risks associated with the operating environment, individual UAV failures, inconsistent global perspective between team, interference and/or contention because of limited physical space, and unreliable communication. In SAFEMUV, we will extend, adapt, and integrate our recent research and the latest advances from operational risk assessment for UAVs, managing variability in robotic systems through feature modelling, and automated synthesis of models and testing campaigns for assessing system robustness. In a nutshell, SAFEMUV will deliver a process for systematic robustness assessment of UAV teams underpinned by methods for the specification, generation and testing of collaborative inspection scenarios, enabling the progressive transition from simulation to lab-based operations and to real-world operations; and a demonstrator that realises this process using an a simulated environment, an indoor flight arena and an outdoor space at Luxembourg Airport.

Project management at the H-BRS

Prof. Dr Nico Hochgeschwender (Ausgeschieden)
Metrological Evaluation and Testing of Robots in International Competitions (METRICS)

The main objective of METRICS is to organise challenge-led robotics competitions as clear, rigorous and effective evaluation campaigns for the four priority areas, namely healthcare, agile production, inspection and maintenance and agri-food. These competitions are a cornerstone for the effective design, manufacture, deployment and modification of robotic systems. To this end, METRICS will design metrology-grade methods for robotics evaluation, maximise the take-up of the evaluation and benchmarking tools, ensure the industrial relevance of challenge-led competitions, attract industrial stakeholders, academics and the general public to competitions, maximise the compliance of robots with ethical, legal, social, economic requirements, help to fill the normative gap for intelligent robotic systems by designing evaluation plans as representative standards, and structure the European robotics community around competitions in the four PAs and ensure its sustainability.

FlexHyX - Flexibility options of production and usage of renewable hydrogen via decentralized metal hydride tanks and their integration in gas grids

Providers of electric power from renewable sources e.g. photovoltaics or wind turbines underlie seasonal and weather-related variations. This demands a significant expansion of energy storage capacities. A possible solution is storage in the form of hydrogen, especially in metal hydride tanks.

TrUSD

In the course of digitalization, more and more data is being collected and evaluated in companies. This can optimize business processes, but also has the potential to affect employees' personal rights. The research project TrUSD builds a bridge between the potential of data analysis and the right of employees to privacy by developing so-called Privacy Dashboards. These dashboards provide employees with all the necessary privacy-related information, display it in an understandable way, and offer appropriate settings.

Project management at the H-BRS

Prof. Dr Luigi Lo Iacono
URIA

The research project URIA inspects the widely deployed password-based authentication. Nearly everyone knows the difficulty of choosing and, especially, remembering good passwords. Password-secured systems also inhere high security risks due to its fast "crackability". Hence, password-based authentication has weaknesses in terms of usability as well as security. In contrast to that, Risk-based authentication has the potential of improving security without degrading usability.

Project management at the H-BRS

Prof. Dr Luigi Lo Iacono
Verifiable Composition of Dynamics and Control Algorithms for Robot Motion (VeriComp)

Generating robot motion is mandatory to accomplish a plenitude of real-world tasks which usually require feedback control schemes and the application of advanced force/motion control concepts. However, realizing this requires composing the concepts from domains such as geometry, mechanics or control in non-trivial ways which makes predictability of system-level properties related to performance, safety and other important categories difficult to achieve. VeriComp aims at addressing this challenges by augmenting functional composition inside components with verifiable properties and domain-specific extension. Thereby VeriComp shall enable important robot stakeholders such as function developers and component supplierto create verifiable compositions of functions, package those into components while propagating verifiable properties and analyze system-level composition of components with respect to ultimately emerging performance and safety properties.

6-MIG

The objective of this research project is to develop a user-friendly and cost-effective interactive input device that allows intuitive and efficient manipulation of 3D objects (6 DoF) in virtual reality (VR) visualization environments with flat projections walls. During this project, it was planned to develop an extended version of a laser pointer with multiple laser beams arranged in specific patterns. Using stationary cameras observing projections of these patterns from behind the screens, it is planned to develop an algorithm for reconstruction of the emitter’s absolute position and orientation in space. Laser pointer concept is an intuitive way of interaction that would provide user with a familiar, mobile and efficient navigation though a 3D environment. In order to navigate in a 3D world, it is required to know the absolute position (x, y and z position) and orientation (roll, pitch and yaw angles) of the device, a total of 6 degrees of freedom (DoF). Ordinary laser-based pointers when captured on a flat surface with a video camera system and then processed, will only provide x and y coordinates effectively reducing available input to 2 DoF only. In order to overcome this problem, an additional set of multiple (invisible) laser pointers should be used in the pointing device. These laser pointers should be arranged in a way that the projection of their rays will form one fixed dot pattern when intersected with the flat surface of projection screens. Images of such a pattern will be captured via a real-time camera-based system and then processed using mathematical re-projection algorithms. This would allow the reconstruction of the full absolute 3D pose (6 DoF) of the input device. Additionally, multi-user or collaborative work should be supported by the system, would allow several users to interact with a virtual environment at the same time. Possibilities to port processing algorithms into embedded processors or FPGAs will be investigated during this project as well.

Project management at the H-BRS

Prof. Dr Rainer Herpers

Contact Points

Centre for Science and Technology Transfer (ZWT)

Room

F 405

Address

Grantham-Allee 20

53757, Sankt Augustin

Telephone

+49 2241 865 745

Vice President Research and Young Academics

Campus

Sankt Augustin

Address

Grantham-Allee 20

53757, Sankt Augustin

Telephone

+49 2241 865 602