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2024
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Mandischer, Nils, Usai, Marcel, Flemisch, Frank, & Mikelsons, Lars (in press). Exploring capability-based control distributions of human-robot teams through capability deltas: formalization and implications. 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 6-10, 2024, Sarawak, MalaysiaPiscataway, NJ: IEEE. https://doi.org/10.48550/arXiv.2408.05069
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Weidemann, Carlo & Mandischer, Nils (in press). Matching input and output devices and physical disabilities for human-robot workstations. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Kuching, Malaysia, 2024Piscataway, NJ: IEEE. https://doi.org/10.48550/arXiv.2407.18563
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Usai, Marcel, Mandischer, Nils, & Flemisch, Frank (in press). Pattern handler: integrating real world and virtual models of human systems patterns to regulate the control distribution in a cooperative automated driving task. 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 6-10, 2024, Sarawak, MalaysiaPiscataway, NJ: IEEE. https://doi.org/10.13140/RG.2.2.24723.69922
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Mandischer, Nils, Atanasyan, Alexander, Schluse, Michael, Roßmann, Jürgen, & Mikelsons, Lars (in press). Perspectives-observer-transparency - a novel paradigm for modelling the human in human-to-anything interaction based on a structured review of the human digital twin. IEEE International Conference on Systems, Man, and Cybernetics 2024Piscataway, NJ: IEEE. https://doi.org/10.48550/arXiv.2408.06785
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Hilger, Maximilian, Mandischer, Nils, & Coves, Burkhard (in press). RaNDT SLAM: radar SLAM based on intensity-augmented normal distributions transform. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024Piscataway, NJ: IEEE. https://doi.org/10.48550/arXiv.2408.11576
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Mandischer, Nils & Mikelsons, Lars (2024). Towards human capability estimation to enhance human-robot team performance. at - Automatisierungstechnik, 72(12), 1141-1159. https://doi.org/10.1515/auto-2024-0096
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2023
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Mandischer, Nils (2023). A human-centered approach to collaborative mobile robotics in emergency rescue. Aachen: Rheinisch-Westfälische Technische Hochschule Aachen. https://doi.org/10.18154/RWTH-2023-09998
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Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023 |
Mandischer, Nils, Döbler, Sebastian, & Corves, Burkhard (2023). A simple screw-hole discrimination pipeline for deployment in autonomous manufacturing. Esa Ollila, Sergiy A. Vorobyov, Themistoklis Charalambous, Christoph Mecklenbräuker, Andreas Jakobsson (Eds.), 2023 31st European Signal Processing Conference (EUSIPCO), 4-8 September 2023, Helsinki, Finland(pp. 551-555). Piscataway, NJ: IEEE. https://doi.org/10.23919/eusipco58844.2023.10289736
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Bezrucav, Stefan-Octavian, Mandischer, Nils, & Corves, Burkhard (2023). Artificial intelligence task planning of cooperating low-cost mobile manipulators: a case study on a fully autonomous manufacturing application. Procedia Computer Science, 217, 306-315. https://doi.org/10.1016/j.procs.2022.12.226
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Weidemann, Carlo, Mandischer, Nils, van Kerkom, Frederick, Corves, Burkhard, Hüsing, Mathias, Kraus, Thomas, & Garus, Cyryl (2023). Literature review on recent trends and perspectives of collaborative robotics in Work 4.0. Robotics, 12(3), 84. https://doi.org/10.3390/robotics12030084
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Mandischer, Nils, Hou, Ruikun, & Corves, Burkhard (2023). Multiposture leg tracking for temporarily vision restricted environments based on fusion of laser and radar sensor data. Journal of Field Robotics, 40(6), 1620-1638. https://doi.org/10.1002/rob.22195
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Schmitz, Markus, Menz, Florian, Grunau, Ruben, Mandischer, Nils, Hüsing, Mathias, & Corves, Burkhard (2023). Robot cooking — transferring observations into a planning language: an automated approach in the field of cooking. eng, 4(4), 2514-2524. https://doi.org/10.3390/eng4040143
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Mandischer, Nils, Gürtler, Marius, Weidemann, Carlo, Hüsing, Elodie, Bezrucav, Stefan-Octavian, Gossen, Daniel, Brünjes, Vincent, Hüsing, Mathias, & Corves, Burkhard (2023). Toward adaptive human–robot collaboration for the inclusion of people with disabilities in manual labor tasks. Electronics, 12(5), 1118. https://doi.org/10.3390/electronics12051118
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2022
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Umbrico, Alessandro, Anasagasti, Mikel, Bezrucav, Stefan-Octavian, Canale, Francesca, Cesta, Amedeo, Corves, Burkhard, Mandischer, Nils, Mondragon, Mikel, Naso Rappis, Cristina, & Orlandini, Andrea (2022). Enhanced cognition for adaptive human-robot collaboration. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 6-9 September 2022, Stuttgart, Germany(pp. 1-7). Piscataway, NJ: IEEE. https://doi.org/10.1109/etfa52439.2022.9921619
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Mandischer, Nils, Gurtler, Marius, Dobler, Sebastian, Husing, Mathias, & Corves, Burkhard (2022). Finding moving operators in firefighting operations based on multi-goal next-best-view exploration. J. Ramiro Martínez-de Dios, Antidio Viguria (Eds.), 2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 8-10 November 2022, Sevilla, Spain(pp. 47-52). Piscataway, NJ: IEEE. https://doi.org/10.1109/ssrr56537.2022.10018673
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Mandischer, Nils, Weidemann, Carlo, Husing, Mathias, & Corves, Burkhard (2022). Non-contact safety for stationary robots through optical entry detection with a co-moving 3D-camera. Vladimír Mařík, Dimitar Filev, Mengchu Zhou, Edward Tunstel (Eds.), 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 9-12 October 2022, Prague, Czech Republic(pp. 994-999). Piscataway, NJ: IEEE. https://doi.org/10.1109/smc53654.2022.9945494
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Weidemann, Carlo, Husing, Elodie, Freischlad, Yannick, Mandischer, Nils, Corves, Burkhard, & Husing, Mathias (2022). RAMB: validation of a software tool for determining robotic assistance for people with disabilities in first labor market manufacturing applications. Vladimír Mařík, Dimitar Filev, Mengchu Zhou, Edward Tunstel (Eds.), 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 9-12 October 2022, Prague, Czech Republic(pp. 2269-2274). Piscataway, NJ: IEEE. https://doi.org/10.1109/smc53654.2022.9945241
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Corves, Burkhard, Hüsing, Mathias, Bezrucav, Stefan, Lorenz, Michael, Mandischer, Nils, Schmitz, Markus, Shahidi, Amirreza, Haschke, Tobias, Weidemann, Carlo, & Huhn, Tobias (2022). Robotic 4.0. In Walter Frenz (Ed.), Handbook Industry 4.0: law, technology, society (pp. 471-490). Berlin: Springer. https://doi.org/10.1007/978-3-662-64448-5_24
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2021
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Mandischer, Nils, Huhn, Tobias, Hüsing, Mathias, & Corves, Burkhard (2021). Efficient and consumer-centered item detection and classification with a multicamera network at high ranges. Sensors, 21(14), 4818. https://doi.org/10.3390/s21144818
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Gürtler, Marius, Mandischer, Nils, Hüsing, Mathias, Corves, Burkhard, Pottebaum, Jens, Roesmann, Daniel, & Gräßler, Iris (2021). Ein reaktiver Modellierungsansatz für Mensch-Roboter-Kollaboration in Rettungs- und Brandszenarien der Feuerwehr. Tobias Bruckmann (Ed.), Siebte IFToMM D-A-CH Konferenz 2021, 18./19. Februar 2021, Online-KonferenzDuisburg: Universität Duisburg-Essen. https://doi.org/10.17185/duepublico/74064
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Gräßler, Iris, Pottebaum, Jens, Roesmann, Daniel, Mandischer, Nils, Gürtler, Marius, Hüsing, Mathias, & Corves, Burkhard (2021). Fähigkeitsorientierte Aufgabenzuordnung für die Mensch-Roboter-Kollaboration in sicherheitskritischen Einsatzsituationen. Carolin Wienrich, Philipp Wintersberger, Benjamin Weyers (Eds.), Mensch und Computer 2021 - Workshopband, MCI-WS08: Workshop Human-Machine Interaction in Safety-Critical Systems, 5.-8. September 2021, IngolstadtBonn: Gesellschaft für Informatik e.V.. https://doi.org/10.18420/muc2021-mci-ws08-376
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Mandischer, Nils, Koop, Ina, Granich, Anna, Heberling, Dirk, & Corves, Burkhard (2021). Radar tracker for human legs based on geometric and intensity features. Rozenn Dahynot, Fernando Pérez-González, Juan R. Troncoso-Pastoriza, Zekeriya Erkin (Eds.), 2021 29th European Signal Processing Conference (EUSIPCO), 23-27 August 2021, Dublin, Ireland(pp. 1521-1525). Piscataway, NJ: IEEE. https://doi.org/10.23919/eusipco54536.2021.9616134
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2020
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Mandischer, Nils, Huesing, Mathias, & Corves, Burkhard (2020). Introducing a modular framework for human tracking with inhomogeneous sensor systems. Georg Rauter, Philippe C. Cattin, Zam Azhar, Robert Riener, Giuseppe Carbone, Doina Pisla (Eds.), New Trends in Medical and Service Robotics: MESROB 2020(pp. 318-324). Cham: Springer. https://doi.org/10.1007/978-3-030-58104-6_36
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Mandischer, Nils, Charaf Eddine, Sami, Huesing, Mathias, & Corves, Burkhard (2020). Radar SLAM for autonomous indoor grinding. Fulvio Gini, Maria Sabrina Greco, Vincenzo Carotenuto, Luca Pallotta (Eds.), 2020 IEEE Radar Conference (RadarConf20), 21-25 September 2020, Florence, Italy(pp. 1-6). Piscataway, NJ: IEEE. https://doi.org/10.1109/radarconf2043947.2020.9266541
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Corves, Burkhard, Hüsing, Mathias, Bezrucav, Stefan, Detert, Tim, Lauwigi, Johanna, Lorenz, Michael, Mandischer, Nils, Schmitz, Markus, & Shahidi, Amirreza (2020). Robotik 4.0. In Walter Frenz (Ed.), Handbuch Industrie 4.0: Recht, Technik, Gesellschaft (pp. 569-589). Berlin: Springer. https://doi.org/10.1007/978-3-662-58474-3_29
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2019
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Mandischer, Nils, Eddine, Sami Charaf, Huesing, Mathias, & Corves, Burkhard (2019). Bots2ReC: radar localization in low visibility indoor environments. 2019 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2-4 September 2019, Würzburg, Germany(pp. 158-163). Piscataway, NJ: IEEE. https://doi.org/10.1109/ssrr.2019.8848981
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