TY  - CHAP
A1  - Ferrein, Alexander
A1  - Meeßen, Marcus
A1  - Limpert, Nicolas
A1  - Schiffer, Stefan
ED  - Lepuschitz, Wilfried
T1  - Compiling ROS schooling curricula via contentual taxonomies
T2  - Robotics in Education
N2  - The Robot Operating System (ROS) is the current de-facto standard in robot middlewares. The steadily increasing size of the user base results in a greater demand for training as well. User groups range from students in academia to industry professionals with a broad spectrum of developers in between. To deliver high quality training and education to any of these audiences, educators need to tailor individual curricula for any such training. In this paper, we present an approach to ease compiling curricula for ROS trainings based on a taxonomy of the teaching contents. The instructor can select a set of dedicated learning units and the system will automatically compile the teaching material based on the dependencies of the units selected and a set of parameters for a particular training. We walk through an example training to illustrate our work.
Y1  - 2021
SN  - 978-3-030-67411-3
U6  - https://doi.org/10.1007/978-3-030-67411-3_5
N1  - RiE: International Conference on Robotics in Education (RiE);
Advances in Intelligent Systems and Computing book series (AISC, volume 1316)
SP  - 49
EP  - 60
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Maier, Christopher
A1  - Mühlbacher, Clemens
A1  - Niemüller, Tim
A1  - Steinbauer, Gerald
A1  - Vassos, Stravros
T1  - Controlling logistics robots with the action-based language YAGI
T2  - Intelligent Robotics and Applications: 9th International Conference, ICIRA 2016, Tokyo, Japan, August 22-24, 2016, Proceedings, Part I
Y1  - 2016
SN  - 978-3-319-43505-3 (Print)
SN  - 978-3-319-43506-0 (Online)
U6  - https://doi.org/10.1007/978-3-319-43506-0_46
N1  - Series: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
VL  - 9834
SP  - 525
EP  - 537
PB  - Springer
ER  - 
TY  - CHAP
A1  - Ferrein, Alexander
A1  - Maier, Christopher
A1  - Mühlbacher, Clemens
A1  - Niemueller, Tim
A1  - Steinbauer, Gerald
A1  - Vassos, Stravros
T1  - Controlling Logistics Robots with the Action-based Language YAGI
T2  - Proceedings of the 2015 IROS Workshop on Workshop on Task Planning for Intelligent Robots in Service and Manufacturing
Y1  - 2015
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Zwilling, Frederik
A1  - Lakemeyer, Gerhard
A1  - Löbach, Matthias
A1  - Reuter, Sebastian
A1  - Jeschke, Sabina
A1  - Ferrein, Alexander
T1  - Cyber-Physical System Intelligence
T2  - Industrial Internet of Things
N2  - Cyber-physical systems are ever more common in manufacturing industries. Increasing their autonomy has been declared an explicit goal, for example, as part of the Industry 4.0 vision. To achieve this system intelligence, principled and software-driven methods are required to analyze sensing data, make goal-directed decisions, and eventually execute and monitor chosen tasks. In this chapter, we present a number of knowledge-based approaches to these problems and case studies with in-depth evaluation results of several different implementations for groups of autonomous mobile robots performing in-house logistics in a smart factory. We focus on knowledge-based systems because besides providing expressive languages and capable reasoning techniques, they also allow for explaining how a particular sequence of actions came about, for example, in the case of a failure.
KW  - Smart factory
KW  - Industry 4.0
KW  - Multi-robot systems
KW  - Autonomous mobile robots
KW  - RoboCup
Y1  - 2017
SN  - 978-3-319-42559-7
U6  - https://doi.org/10.1007/978-3-319-42559-7_17
N1  - Springer Series in Wireless Technology
SP  - 447
EP  - 472
PB  - Springer
CY  - Cham
ER  - 
TY  - JOUR
A1  - Schiffer, Stefan
A1  - Ferrein, Alexander
T1  - Decision-Theoretic Planning with Fuzzy Notions in GOLOG
JF  - International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
N2  - In this paper we present an extension of the action language Golog that allows for using fuzzy notions in non-deterministic argument choices and the reward function in decision-theoretic planning. Often, in decision-theoretic planning, it is cumbersome to specify the set of values to pick from in the non-deterministic-choice-of-argument statement. Also, even for domain experts, it is not always easy to specify a reward function. Instead of providing a finite domain for values in the non-deterministic-choice-of-argument statement in Golog, we now allow for stating the argument domain by simply providing a formula over linguistic terms and fuzzy uents. In Golog’s forward-search DT planning algorithm, these formulas are evaluated in order to find the agent’s optimal policy. We illustrate this in the Diner Domain where the agent needs to calculate the optimal serving order.
Y1  - 2016
U6  - https://doi.org/10.1142/S0218488516400134
SN  - 1793-6411
VL  - 24
IS  - Issue Suppl. 2
SP  - 123
EP  - 143
PB  - World Scientific
CY  - Singapur
ER  - 
TY  - CHAP
A1  - Niemueller, Tim
A1  - Reuter, Sebastian
A1  - Ewert, Daniel
A1  - Ferrein, Alexander
A1  - Jeschke, Sabina
A1  - Lakemeyer, Gerhard
T1  - Decisive Factors for the Success of the Carologistics RoboCup Team in the RoboCup Logistics League 2014
T2  - RoboCup 2014: Robot World Cup XVIII
Y1  - 2015
SN  - 978-3-319-18615-3
N1  - Lecture Notes in Computer Science ; 8992
SP  - 155
EP  - 167
PB  - Springer
ER  - 
TY  - CHAP
A1  - Schulte-Tigges, Joschua
A1  - Matheis, Dominik
A1  - Reke, Michael
A1  - Walter, Thomas
A1  - Kaszner, Daniel
ED  - Krömker, Heidi
T1  - Demonstrating a V2X enabled system for transition of control and minimum risk manoeuvre when leaving the operational design domain
T2  - HCII 2023: HCI in Mobility, Transport, and Automotive Systems
N2  - Modern implementations of driver assistance systems are evolving from a pure driver assistance to a independently acting automation system. Still these systems are not covering the full vehicle usage range, also called operational design domain, which require the human driver as fall-back mechanism. Transition of control and potential minimum risk manoeuvres are currently research topics and will bridge the gap until full autonomous vehicles are available. The authors showed in a demonstration that the transition of control mechanisms can be further improved by usage of communication technology. Receiving the incident type and position information by usage of standardised vehicle to everything (V2X) messages can improve the driver safety and comfort level. The connected and automated vehicle’s software framework can take this information to plan areas where the driver should take back control by initiating a transition of control which can be followed by a minimum risk manoeuvre in case of an unresponsive driver. This transition of control has been implemented in a test vehicle and was presented to the public during the IEEE IV2022 (IEEE Intelligent Vehicle Symposium) in Aachen, Germany.
KW  - V2X
KW  - Transiton of Control
KW  - Minimum Risk Manoeuvre
KW  - Operational Design Domain
KW  - Connected Automated Vehicle
Y1  - 2023
SN  - 978-3-031-35677-3 (Print)
SN  - 978-3-031-35678-0 (Online)
U6  - https://doi.org/10.1007/978-3-031-35678-0_12
N1  - 5th International Conference, MobiTAS 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023.
SP  - 200
EP  - 210
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Stopforth, Riaan
A1  - Davrajh, Shaniel
A1  - Ferrein, Alexander
T1  - Design considerations of the duo fugam dual rotor UAV
T2  - 2017 Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech)
Y1  - 2017
SN  - 978-1-5386-2314-5
U6  - https://doi.org/10.1109/RoboMech.2017.8261115
SP  - 7
EP  - 13
ER  - 
TY  - JOUR
A1  - Franko, Josef
A1  - Du, Shengzhi
A1  - Kallweit, Stephan
A1  - Duelberg, Enno Sebastian
A1  - Engemann, Heiko
T1  - Design of a Multi-Robot System for Wind Turbine Maintenance
JF  - Energies
N2  - The maintenance of wind turbines is of growing importance considering the transition to renewable energy. This paper presents a multi-robot-approach for automated wind turbine maintenance including a novel climbing robot. Currently, wind turbine maintenance remains a manual task, which is monotonous, dangerous, and also physically demanding due to the large scale of wind turbines. Technical climbers are required to work at significant heights, even in bad weather conditions. Furthermore, a skilled labor force with sufficient knowledge in repairing fiber composite material is rare. Autonomous mobile systems enable the digitization of the maintenance process. They can be designed for weather-independent operations. This work contributes to the development and experimental validation of a maintenance system consisting of multiple robotic platforms for a variety of tasks, such as wind turbine tower and rotor blade service. In this work, multicopters with vision and LiDAR sensors for global inspection are used to guide slower climbing robots. Light-weight magnetic climbers with surface contact were used to analyze structure parts with non-destructive inspection methods and to locally repair smaller defects. Localization was enabled by adapting odometry for conical-shaped surfaces considering additional navigation sensors. Magnets were suitable for steel towers to clamp onto the surface. A friction-based climbing ring robot (SMART— Scanning, Monitoring, Analyzing, Repair and Transportation) completed the set-up for higher payload. The maintenance period could be extended by using weather-proofed maintenance robots. The multi-robot-system was running the Robot Operating System (ROS). Additionally, first steps towards machine learning would enable maintenance staff to use pattern classification for fault diagnosis in order to operate safely from the ground in the future.
Y1  - 2020
U6  - https://doi.org/10.3390/en13102552
SN  - 1996-1073
VL  - 13
IS  - 10
SP  - Article 2552
PB  - MDPI
CY  - Basel
ER  - 
TY  - CHAP
A1  - Schleupen, Josef
A1  - Engemann, Heiko
A1  - Bagheri, Mohsen
A1  - Kallweit, Stephan
A1  - Dahmann, Peter
T1  - Developing a climbing maintenance robot for tower and rotor blade service of wind turbines
T2  - Advances in Robot Design and Intelligent Control : Proceedings of the 25th Conference on Robotics in Alpe-Adria-Danube Region (RAAD16)
Y1  - 2017
SN  - 978-3-319-49058-8
U6  - https://doi.org/10.1007/978-3-319-49058-8_34
N1  - Advances in Robot Design and Intelligent Control ; Vol. 540
SP  - 310
EP  - 319
PB  - Springer
CY  - Cham
ER  -