@article{FrankoDuKallweitetal.2020,
  author    = {Franko, Josef and Du, Shengzhi and Kallweit, Stephan and Duelberg, Enno Sebastian and Engemann, Heiko},
  title     = {Design of a Multi-Robot System for Wind Turbine Maintenance},
  series = {Energies},
  volume    = {13},
  journal   = {Energies},
  number    = {10},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1996-1073},
  doi       = {10.3390/en13102552},
  pages     = {Article 2552},
  year      = {2020},
  abstract  = {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.},
  language  = {en}
}
@inproceedings{SchleupenEngemannBagherietal.2017,
  author    = {Schleupen, Josef and Engemann, Heiko and Bagheri, Mohsen and Kallweit, Stephan and Dahmann, Peter},
  title     = {Developing a climbing maintenance robot for tower and rotor blade service of wind turbines},
  series = {Advances in Robot Design and Intelligent Control : Proceedings of the 25th Conference on Robotics in Alpe-Adria-Danube Region (RAAD16)},
  booktitle = {Advances in Robot Design and Intelligent Control : Proceedings of the 25th Conference on Robotics in Alpe-Adria-Danube Region (RAAD16)},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-49058-8},
  doi       = {10.1007/978-3-319-49058-8_34},
  pages     = {310 -- 319},
  year      = {2017},
  language  = {en}
}
@inproceedings{KallweitSchleupenDahmannetal.2016,
  author    = {Kallweit, Stephan and Schleupen, Josef and Dahmann, Peter and Bagheri, Mohsen and Engemann, Heiko},
  title     = {Entwicklung eines Kletterroboters zur Diagnose und Instandsetzung von Windenergieanlagen (SMART)},
  series = {Automatisierung im Fokus von Industrie 4.0 : Tagungsband AALE 2016 ; 13. Fachkonferenz, L{\"u}beck},
  booktitle = {Automatisierung im Fokus von Industrie 4.0 : Tagungsband AALE 2016 ; 13. Fachkonferenz, L{\"u}beck},
  publisher = {DIV Deutscher Industrieverlag GmbH},
  address   = {M{\"u}nchen},
  isbn      = {978-3-8356-7312-0},
  pages     = {207 -- 212},
  year      = {2016},
  language  = {de}
}
@inproceedings{EngemannBadriWenningetal.2019,
  author    = {Engemann, Heiko and Badri, Sriram and Wenning, Marius and Kallweit, Stephan},
  title     = {Implementation of an Autonomous Tool Trolley in a Production Line},
  series = {Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980},
  booktitle = {Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-19648-6},
  doi       = {10.1007/978-3-030-19648-6_14},
  pages     = {117 -- 125},
  year      = {2019},
  language  = {en}
}
@inproceedings{WiesenEngemannLimpertetal.2018,
  author    = {Wiesen, Patrick and Engemann, Heiko and Limpert, Nicolas and Kallweit, Stephan},
  title     = {Learning by Doing - Mobile Robotics in the FH Aachen ROS Summer School},
  series = {European Robotics Forum 2018, TRROS18 Workshop},
  booktitle = {European Robotics Forum 2018, TRROS18 Workshop},
  pages     = {47 -- 58},
  year      = {2018},
  language  = {en}
}
@article{EngemannDuKallweitetal.2020,
  author    = {Engemann, Heiko and Du, Shengzhi and Kallweit, Stephan and C{\"o}nen, Patrick and Dawar, Harshal},
  title     = {OMNIVIL - an autonomous mobile manipulator for flexible production},
  series = {Sensors},
  volume    = {20},
  journal   = {Sensors},
  number    = {24, art. no. 7249},
  publisher = {MDPI},
  address   = {Basel},
  isbn      = {1424-8220},
  doi       = {10.3390/s20247249},
  pages     = {1 -- 30},
  year      = {2020},
  language  = {en}
}
@inproceedings{SchleupenEngemannBagherietal.2016,
  author    = {Schleupen, Josef and Engemann, Heiko and Bagheri, Mohsen and Kallweit, Stephan},
  title     = {The potential of SMART climbing robot combined with a weatherproof cabin for rotor blade maintenance},
  series = {17th European Conference on Composite Materials - ECCM, Munich, Germany},
  booktitle = {17th European Conference on Composite Materials - ECCM, Munich, Germany},
  pages     = {1 -- 8},
  year      = {2016},
  language  = {en}
}