RoboCar - Autonomous driving technology evaluation based on a highly flexible vehicle platform
The Project RoboCar aims at a new approach in the development of autonomous driving vehicles based on the integration of an existing highly flexible prototype research vehicle as well as object recognition and vehicle control algorithms from robotic science. The prototype vehicle is driven by four independent hub motors that provide manoeuvrability and driving function far beyond automotive standards. Enhanced Know-how from robotic disciplines comprises sensor technology, navigation algorithms and the autonomous vehicle control system. With the integrated research vehicle, several autonomous driving testing scenarios will be carried out at a university campus to enable comprehensive evaluation and potential assessment of the technology. In this way, the potentials of new technological approaches are assessed and analysed by support of objective and rational evaluation of strengths and weaknesses to facilitate decision-making processes for strategic technological determinations in view of future R&D projects.
Staff member
Start: 31.10.2017
End: 30.10.2018
EDLRIS - European Driving License for Robots and Intelligent Systems
The future development of the economy, prosperity and quality of life in Europe will strongly depend on the following factors. Modern processes and methods are crucial for competitive products on a global scale. Smart production as the interplay of robotics, computer science and artificial intelligence (AI) will become more and more important. Furthermore, novel and innovative products and services will be necessary to develop the economy sustainably. In order to enable such products young people with knowledge and skills in robotics and AI will be needed. An appropriate developed labour market will significantly contribute to the strategic goals (smart, sustainable, inclusive growth) given by the underlying cooperation programme. Novel ideas and improved human capital enable companies to generate qualitative jobs in the project region. All this will contribute to the strategic goals as well as the operative goal of strengthening the labour market. In order to achieve this we propose to establish a standardized training and certification system for young people in the areas of robotics and AI. The training will be on a high professional level allowing the young people to develop an exceptional and satisfying career. A professional certification system similar to the ECDL as well as the involvement of stakeholders (educational institutions, public institutions, companies, …) in the project development will foster a great acceptance of the provided training system and will also allow companies and educational institutions to recognize the obtained skills of young people. The "train the trainer" approach will allow to roll out the system in the entire project region. Because the above problems exist in all areas of the project region such a project needs to be developed in a cross-border fashion.
Staff member
Start: 30.04.2017
End: 29.04.2020
JetFlyer - Automation JetFlyer
TU Graz works togehter in Styria to evaluate the possibility of autonomous driving on streets in downtown Graz.
Staff member
Start: 31.03.2017
End: 30.10.2017
Dependable Internet of Things
It is predicted that over 50 billion intelligent objects - smart things - will communicate with each other in the Internet of Things by 2020, allowing for numerous everyday applications. For example, cars will be able to communicate with each other on the streets to prevent accidents, and tailor-made furniture will be able to tell industrial production machines what exactly needs to be done to them. One day, the Internet of Things will be as important as the power grid is today. There is, however, still much research to be done, especially regarding the reliability of the Internet of Things. In particular, critical applications in health, traffic and production need to function perfectly at all times. Lead project researchers in the Field of Expertise Information, Communication & Computing at TU Graz are working on fundamental aspects that will enable computers embedded into everyday objects to function reliably, even under the most difficult conditions.
Staff member
Contact
Bernhard Aichernig
Ao.Univ.-Prof. Dipl.-Ing. Dr.techn.
Mustafa Safaa Ahmed Bakr
MSc
Marcel Carsten Baunach
Univ.-Prof. Dipl.-Inf. Univ. Dr.rer.nat.
Roderick Bloem
Univ.-Prof. Ph.D.
Carlo Alberto Boano
Ass.Prof. Dott. Dott. mag. Dr.techn. MSc
Wolfgang Bösch
Univ.-Prof. Dipl.-Ing. Dr.techn. MBA
Maria Eichlseder
Dipl.-Ing. BSc
Fabrizio Gentili
Dott. mag. Dr.
Jasmin Grosinger
Ass.Prof. Dipl.-Ing. Dr.techn. BSc.
Martin Horn
Univ.-Prof. Dipl.-Ing. Dr.techn.
Gernot Kubin
Univ.-Prof. Dipl.-Ing. Dr.techn.
Erik Leitinger
Dipl.-Ing. Dr.techn. BSc
Alessandro Luppi
Dott.
Maja Malenko
MSc
Stefan Mangard
Univ.-Prof. Dipl.-Ing. Dr.techn.
Franz Pernkopf
Assoc.Prof. Dipl.-Ing. Dr.mont.
Monica Rotulo
Dott.ssa
Kay Uwe Römer
Univ.-Prof. Dipl.-Inform. Dr.sc.ETH
Olga Saukh
bak. Ass.Prof. Dr.rer.nat. MSc
Tobias Schrank
BA MA
Gerald Steinbauer
Assoc.Prof. Dipl.-Ing. Dr.techn.
Martin Steinberger
Ass.Prof. Dipl.-Ing. Dr.techn.
Martin Tappler
Dipl.-Ing. BSc
Reinhard Teschl
Dipl.-Ing. Dr.techn.
Klaus Witrisal
Assoc.Prof. Dipl.-Ing. Dr.
Nora Zakany
MSc
Participant / Staff Member
Ahmad Bader Alothman Alterkawi
Dott. mag. B.Eng.
Masoud Ebrahimi
Fogh-lis.
Bernhard Großwindhager
Dipl.-Ing. BSc
Christian Knoll
Dipl.-Ing. BSc
Michael Rath
Dipl.-Ing. BSc
Markus Tranninger
Dipl.-Ing. BSc
Samuel Weiser
Dipl.-Ing. BSc
Start: 31.12.2015
End: 30.03.2022
EduRob - Educational Robotics in Styria
follows - wird nachgereicht (20140813 SG)
Staff member
Start: 31.08.2014
End: 30.08.2017
R-Cubed - Request a Rescue Robot
First Responder frequently face critical situations whose reconnaissance and handling is significantly afflicted with personal risks. Modern robot technology can help to reduce these risks. Because of different technical and economic reasons such technology is hardly used by first responder nowadays. The aim of this project is to develop a model that allows first responder to request robot technology and experts easily and quickly in a crisis situation. The advantage of this model is that first responder to not have to hold available such complex and expensive technology and that it remains with an external specialized organization for training, maintenance and operation. First Responder frequently face critical situations whose reconnaissance and handling is significantly afflicted with personal risks. Moreover, due to critical weather situations and increased use of technology in daily life there are situation in which even response experts do not have access anymore (mudslide, hazard materials). Modern robot technology can help to reduce these risks and restrictions. Because of different technical and economic reasons such technology is hardly used by first responder nowadays. The aim of this project is to develop a model that allows first responder to request robot technology and experts easily and quickly in a crisis situation. Similar models already exist to request experts in chemistry or geology. The advantage of this model is that first responder to not have to hold available such complex and expensive technology and that it remains with an external specialized organization like an university or a company for training, maintenance and operation. In order to establish such a model realistic use cases have to be identified in cooperation with first responder. Based on these use cases tactical, technical and juridical requirements have to be defined to allow for an effective and save integration of external robots and experts into daily routine. Moreover, regulations for the external technology partner in terms of maintenance, documentation, training and standby service have to be defined in order to guarantee continuous technical quality and fast response times. The declared aim of the project is to develop a workable and well-founded model for the provision of robot technology to first responder. Moreover, the model has to be mature in order to be deployed in real missions without further development.
Staff member
Contact
Gerald Christian Lichtenegger
Ass.Prof. Dipl.-Ing. Dr.techn.
Participant / Staff Member
Johannes Maurer
Dipl.-Ing. BSc
Start: 31.08.2014
End: 30.08.2015
Guard - Guaranteeing Service Robot Dependability During the Entire Life Cycle
In this project we investigate how automated testing and diagnosis can be used to improve the dependability of service robots in industrial envinronments. In particular the project focuses on the reuse of models and the integration into the development process.
Staff member
Start: 31.03.2014
End: 30.03.2017
TEDUSAR - [Original in Deutsch:Technologie und Ausbildung für Such- und Bergeroboter]
folgt
Staff member
Project Leader
Martin Kandlhofer
Dipl.-Ing. Dr.techn. Bakk.rer.soc.oec.
Gerald Steinbauer
Assoc.Prof. Dipl.-Ing. Dr.techn.
Participant / Staff Member
Johannes Maurer
Start: 31.08.2011
End: 29.08.2014
FWF - ABRIAR - Belief Repair for Intelligent Autonomous Robots
If an autonomous robot has to robustly act in a dynamic real world environment, it has to be able to autonomously cope with unexpected, unforeseen or ambiguous situations. A common reason for such situations is that the current state of the world is inconsistent with the internal belief or knowledge base of the robot. For instance the robot believes that it is in a different office as it is in reality. Usually this is caused by uncertainties in the robots acting and sensing or by exogenous events the robot is not able to perceive or to control. If a robot is not aware of such situations it is doomed to fail in fulfill its task because the decision making of the robot relies on a consistent belief. Due to its reasoning capabilities humans are very good in handling such phenomena. They use common sense reasoning to detect such inconsistencies. Moreover, they are able to perform actions in order to reduce inconsistencies. For instance if a person does not exactly know in which floor of a building it may go back to the elevator or stair case and look for the right floor. In the project we propose a reasoning approach which allows a robot to detect inconsistencies in its belief (abstract knowledge base) and to derive repair actions which remove or at least reduce inconsistencies in its belief. The approach uses a background model (common sense knowledge) about how the robot and its environment should work and methods of model-based diagnosis to detect inconsistencies in the belief and to locate the root cause for the inconsistency, e.g., facts which are wrong or uncertain. Furthermore, the approach automatically generates repair plans the robot is able to perform in order to reduce the inconsistency by confirming or deleting facts from the knowledge base.
Staff member
Project Leader
Gerald Steinbauer
Assoc.Prof. Dipl.-Ing. Dr.techn.
Participant / Staff Member
Stephan Gspandl
Dipl.-Ing.
Clemens Mühlbacher
Dipl.-Ing. BSc
Siegfried Podesser
Dipl.-Ing.
Michael Reip
Dipl.-Ing.
Start: 30.06.2010
End: 30.12.2014
Diagnose und Monitoring v.L. - Diagnose und Monitoring von Logistikanlagen (DML)
Diagnose von Förderanlagen
Staff member
Project Leader
Gerald Steinbauer
Assoc.Prof. Dipl.-Ing. Dr.techn.
Franz Wotawa
Univ.-Prof. Dipl.-Ing. Dr.techn.
Participant / Staff Member
Ingo Hans Pill
Dipl.-Ing. Dr.techn.
Start: 30.04.2007
End: 30.01.2009
Model Based Runtime Diagnosis for Autonomous Mobile Systems (MoRDAMS)
The aim of this project is to integrate runtime diagnosis of hardware and software of autonomous robot systems in a unified way. For this, a common model needs to be developed on which to apply model-based diagnosis techniques. Autonomous mobile robots represent a particularly well suited application for diagnosis tasks. Their autonomous nature implies that they need to reason about their state as there might not always be a supervising human operator. A robot should at all times aim to maintain functionality or try to retain as much system functionality as possible. Repair actions might lead to a fully functioning state after a fault has been diagnosed. Reconfiguration might retain functionality to a certain degree. In the worst case, the robot might reconfigure itself to switch to a fail-safe mode to avoid further damage or threats to nearby people. For example, diagnosis that the vision sensor is malfunctioning could lead to a reconfiguration where other sensors, e.g., a laser range scanner, are used. This might also require to use a different mode of operation, i.e., software reconfiguration. If, however, the video device driver causes problems while the actual video device is still fully functioning, a restart of the video device driver and all dependand services might be a sufficient repair action to restore normal behaviour. As can be seen from this example hardware and software are tightly coupled and need to be modeled together. In this project the feasibility of a unified diagnosis approach is to be evaluated. The modular robotic platform created at Graz Technical University will serve as a test-platform for case-studies on modelling hardware, software, interfaces between hardware and software and interfaces between the abstract control and diagnosis layers. These robots are used for office delivery tasks and robotic soccer, and will serve as target for a case-study. Diagnosis on these models is to be integrated with repair and reconfiguration.
Staff member
Project Leader
Franz Wotawa
Univ.-Prof. Dipl.-Ing. Dr.techn.
Participant / Staff Member
Bernhard Josef Peischl
Dipl.-Ing. Dr.techn.
Gerald Steinbauer
Assoc.Prof. Dipl.-Ing. Dr.techn.
Jörg Weber
Start: 30.06.2005
End: 29.11.2007
Machbarkeitsstudie: Lokalisierung und Navigation eines AGV in einer Lagerumgebung
Erstellung von prototypischer Software, die für die Erfüllung der Machbarkeitsstudie notwendig ist. Durchführung praktischer Tests der Software basierend auf bereitgestellter Hardware. Spezifikation von Sensoren
Staff member
Coordinator
Gerald Steinbauer
Assoc.Prof. Dipl.-Ing. Dr.techn.
Project Leader
Franz Wotawa
Univ.-Prof. Dipl.-Ing. Dr.techn.
Participant / Staff Member
Martin Weiglhofer
Start: 31.01.2005
End: 29.07.2005
Sheduling and Routing eines AGV in einer Lagerumgebung
Erstellung von prototypischer Software, die für die Erfüllung der Machbarkeitsstudie notwendig ist. Durchführung praktischer Tests der Software basierend auf bereitgestellter Hardware. Spezifikation von Sensoren
Staff member
Coordinator
Gerald Steinbauer
Assoc.Prof. Dipl.-Ing. Dr.techn.
Project Leader
Franz Wotawa
Univ.-Prof. Dipl.-Ing. Dr.techn.
Participant / Staff Member
Start: 31.01.2005
End: 29.07.2005
RoboCup
The Robot Soccer World Cup (known as the RoboCup) Games and Conferences are a series of competitions and events designed to promote the full integration of AI and robotics research. Robotic soccer provides a good test-bed for evaluation of various research, e.g. artificial intelligence, robotics, image processing, system engineering and multi-agent systems. In the Middle Size League (MSL) teams of fully autonomous robots with a size of up to 50cm x 50cm x 80 cm play soccer against each other. The MSL provides a serious challenge for many research disciplines including multi-robot cooperative teams, autonomous navigation, sensor fusion, vision-based perception, automatic reasoning, and mechanical design, to name only a few. All these topics have to be tackled in order to solve the RoboCup challenge. Therefore, RoboCup needs truly interdisciplinary research. Furthermore, approaches developed in the MSL will find their way to applications in other domains like service robots. As mentioned above research in the field of autonomous mobile robots is a very interdisciplinary and wide area. Therefore, hardly any group is able to achieve high quality research in all topics. Our group concentrates its work on flexible, symbol-based and robust approaches for the control of autonomous mobile robots in a wide area of domains and for various tasks. We subsume this under the name "Robust Intelligent Control for Autonomous Systems". The main research topics of our group are: robust abstarct control for mobile robots, model-based diagnosis for autonomous systems and sensor-based navigation.
Staff member
Project Leader
Martin Kandlhofer
Dipl.-Ing. Dr.techn. Bakk.rer.soc.oec.
Gerald Steinbauer
Assoc.Prof. Dipl.-Ing. Dr.techn.
Participant / Staff Member
Gordon Fraser
Dipl.-Ing.
Stefan Galler
Dipl.-Ing.
Stephan Gspandl
Michael Hofbaur
Ao.Univ.-Prof. Dipl.-Ing. Dr.techn.
Johannes Maurer
Dipl.-Ing. BSc
David Monichi
Monika Schubert
Jörg Weber
Martin Weiglhofer
Franz Wotawa
Univ.-Prof. Dipl.-Ing. Dr.techn.
Start: 31.12.2001
End: 20.11.2019