@inproceedings{FerreinMeessenLimpertetal.2021,
  author    = {Ferrein, Alexander and Meeßen, Marcus and Limpert, Nicolas and Schiffer, Stefan},
  title     = {Compiling ROS Schooling Curricula via Contentual Taxonomies},
  series = {Robotics in Education},
  booktitle = {Robotics in Education},
  editor    = {Lepuschitz, Wilfried},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-67411-3},
  doi       = {10.1007/978-3-030-67411-3_5},
  pages     = {49 -- 60},
  year      = {2021},
  language  = {en}
}
@article{HofmannLimpertMatareetal.2018,
  author    = {Hofmann, Till and Limpert, Nicolas and Matar{\´e}, Victor and Sch{\"o}nitz, Sebastian and Niemueller, Tim and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {The Carologistics RoboCup Logistics Team 2018},
  year      = {2018},
  abstract  = {The Carologistics team participates in the RoboCup Logistics League for the seventh year. The RCLL requires precise vision, manipulation and path planning, as well as complex high-level decision making and multi-robot coordination. We outline our approach with an emphasis on recent modifications to those components. The team members in 2018 are David Bosen, Christoph Gollok, Mostafa Gomaa, Daniel Habering, Till Hofmann, Nicolas Limpert, Sebastian Sch{\"o}nitz, Morian Sonnet, Carsten Stoffels, and Tarik Viehmann. This paper is based on the last year's team description.},
  language  = {en}
}
@inproceedings{HofmannLimpertMatareetal.2019,
  author    = {Hofmann, Till and Limpert, Nicolas and Matar{\´e}, Viktor and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Winning the RoboCup Logistics League with Fast Navigation, Precise Manipulation, and Robust Goal Reasoning},
  series = {RoboCup 2019: Robot World Cup XXIII. RoboCup},
  booktitle = {RoboCup 2019: Robot World Cup XXIII. RoboCup},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-35699-6},
  doi       = {10.1007/978-3-030-35699-6_41},
  pages     = {504 -- 516},
  year      = {2019},
  language  = {en}
}
@inproceedings{HofmannMatareNeumannetal.2018,
  author    = {Hofmann, Till and Matar{\´e}, Victor and Neumann, Tobias and Sch{\"o}nitz, Sebastian and Henke, Christoph and Limpert, Nicolas and Niemueller, Tim and Ferrein, Alexander and Jeschke, Sabina and Lakemeyer, Gerhard},
  title     = {Enhancing Software and Hardware Reliability for a Successful Participation in the RoboCup Logistics League 2017},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-00308-1},
  doi       = {10.1007/978-3-030-00308-1_40},
  pages     = {486 -- 497},
  year      = {2018},
  language  = {en}
}
@inproceedings{LimpertSchifferFerrein2015,
  author    = {Limpert, Nicolas and Schiffer, Stefan and Ferrein, Alexander},
  title     = {A Local Planner for Ackermann-Driven Vehicles in ROS SBPL},
  series = {Proceedings of the International Conference on Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech), 2015},
  booktitle = {Proceedings of the International Conference on Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech), 2015},
  doi       = {10.1109/RoboMech.2015.7359518},
  pages     = {172 -- 177},
  year      = {2015},
  language  = {en}
}
@article{LimpertWiesenFerreinetal.2019,
  author    = {Limpert, Nicolas and Wiesen, Patrick and Ferrein, Alexander and Kallweit, Stephan and Schiffer, Stefan},
  title     = {The ROSIN Project and its Outreach to South Africa},
  series = {R\&D Journal},
  volume    = {35},
  journal   = {R\&D Journal},
  pages     = {1 -- 6},
  year      = {2019},
  language  = {en}
}
@inproceedings{NikolovskiLimpertNessauetal.2023,
  author    = {Nikolovski, Gjorgji and Limpert, Nicolas and Nessau, Hendrik and Reke, Michael and Ferrein, Alexander},
  title     = {Model-predictive control with parallelised optimisation for the navigation of autonomous mining vehicles},
  series = {2023 IEEE Intelligent Vehicles Symposium (IV)},
  booktitle = {2023 IEEE Intelligent Vehicles Symposium (IV)},
  publisher = {IEEE},
  isbn      = {979-8-3503-4691-6 (Online)},
  doi       = {10.1109/IV55152.2023.10186806},
  pages     = {6 Seiten},
  year      = {2023},
  abstract  = {The work in modern open-pit and underground mines requires the transportation of large amounts of resources between fixed points. The navigation to these fixed points is a repetitive task that can be automated. The challenge in automating the navigation of vehicles commonly used in mines is the systemic properties of such vehicles. Many mining vehicles, such as the one we have used in the research for this paper, use steering systems with an articulated joint bending the vehicle's drive axis to change its course and a hydraulic drive system to actuate axial drive components or the movements of tippers if available. To address the difficulties of controlling such a vehicle, we present a model-predictive approach for controlling the vehicle. While the control optimisation based on a parallel error minimisation of the predicted state has already been established in the past, we provide insight into the design and implementation of an MPC for an articulated mining vehicle and show the results of real-world experiments in an open-pit mine environment.},
  language  = {en}
}
@inproceedings{ViehmannLimpertHofmannetal.2023,
  author    = {Viehmann, Tarik and Limpert, Nicolas and Hofmann, Till and Henning, Mike and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Winning the RoboCup logistics league with visual servoing and centralized goal reasoning},
  series = {RoboCup 2022},
  booktitle = {RoboCup 2022},
  editor    = {Eguchi, Amy and Lau, Nuno and Paetzel-Pr{\"u}smann, Maike and Wanichanon, Thanapat},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-28468-7 (Print)},
  doi       = {https://doi.org/10.1007/978-3-031-28469-4_25},
  pages     = {300 -- 312},
  year      = {2023},
  abstract  = {The RoboCup Logistics League (RCLL) is a robotics competition in a production logistics scenario in the context of a Smart Factory. In the competition, a team of three robots needs to assemble products to fulfill various orders that are requested online during the game. This year, the Carologistics team was able to win the competition with a new approach to multi-agent coordination as well as significant changes to the robot's perception unit and a pragmatic network setup using the cellular network instead of WiFi. In this paper, we describe the major components of our approach with a focus on the changes compared to the last physical competition in 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}
}