35 Publikationen
-
2021 | Bielefelder E-Dissertation | PUB-ID: 2959848Korthals, T. (2021). Deep generative models for multi-modal perception under the influence of ambiguity. Bielefeld: Universität Bielefeld. https://doi.org/10.4119/unibi/2959848
-
2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956099Melnik, A., Lach, L. M., Plappert, M., Korthals, T., Haschke, R., & Ritter, H. (2021). Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks. Frontiers in Robotics and AI, 8, 538773. https://doi.org/10.3389/frobt.2021.538773
-
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2943500Schilling, M., Konen, K., & Korthals, T. (2020). Modular Deep Reinforcement Learning for Emergent Locomotion on a Six-Legged Robot. Presented at the 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), New York City.
-
2020 | Konferenzbeitrag | PUB-ID: 2945886Bach, N., Melnik, A., Schilling, M., Korthals, T., & Ritter, H. (2020). Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3. 6th International Conference, LOD 2020, Siena, Italy, Proceedings, Lecture Notes in Computer Science Springer.
-
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937505Lian Sang, C., Adams, M., Hesse, M., Hörmann, T., Korthals, T., & Rückert, U. (2019). A Comparative Study of UWB-based True-Range Positioning Algorithms using Experimental Data . Presented at the IEEE 16th Workshop on Positioning, Navigation and Communications (WPNC'19), Bremen, Germany. https://doi.org/10.1109/WPNC47567.2019.8970249
-
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937493Lian Sang, C., Adams, M., Korthals, T., Hörmann, T., Hesse, M., & Rückert, U. (2019). A Bidirectional Object Tracking and Navigation System using a True-Range Multilateration Method. Presented at the Tenth International Conference on Indoor Positioning and Indoor Navigation (IPIN), Pisa, Italy. https://doi.org/10.1109/IPIN.2019.8911811
-
2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2937362Homburg, J. D., Adams, M., Thies, M., Korthals, T., Hesse, M., & Rückert, U. (2019). Constraint Exploration of Convolutional Network Architectures with Neuroevolution. In I. Rojas, G. Joya, & A. Catala (Eds.), Lecture Notes in Computer Science: Vol. 11507. Advances in Computational Intelligence. IWANN 2019 (pp. 735-746). Cham: Springer. https://doi.org/10.1007/978-3-030-20518-8_61
-
2019 | Zeitschriftenaufsatz | PUB-ID: 2937519Korthals, T., Melnik, A., Hesse, M., & Leitner, J. (2019). Multisensory Assisted In-hand Manipulation of Objects with a Dexterous Hand. 2019 IEEE International Conference on Robotics and Automation Workshop on Integrating Vision and Touch for Multimodal and Cross-modal Perception, (ViTac) 2019, Montreal, CA, May 20-25, 2019, 1-2.
-
2019 | Zeitschriftenaufsatz | PUB-ID: 2937517Konen, K., Korthals, T., Melnik, A., & Schilling, M. (2019). Biologically-Inspired Deep Reinforcement Learning of Modular Control for a Six-Legged Robot. 2019 IEEE International Conference on Robotics and Automation Workshop on Learning Legged Locomotion Workshop, (ICRA) 2019, Montreal, CA, May 20-25, 2019, 1-3.
-
2019 | Preprint | Veröffentlicht | PUB-ID: 2938837Korthals, T., Schilling, M., & Leitner, J. (2019). A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing
-
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2934957Korthals, T., Rudolph, D., Leitner, J., Hesse, M., & Rückert, U. (Accepted). Multi-Modal Generative Models for Learning Epistemic Active Sensing. 2019 IEEE International Conference on Robotics and Automation Piscataway, NJ: IEEE.
-
-
-
-
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2930691Schöpping, T., Korthals, T., Hesse, M., & Rückert, U. (2018). Generic Architecture for Modular Real-time Systems in Robotics. In K. Madani & O. Gusikhin (Eds.), Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics. (Vol. 2, pp. 403-410). Setúbal, Portugal : SciTePress. https://doi.org/10.5220/0006899304030410
-
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918988Schöpping, T., Korthals, T., Hesse, M., & Rückert, U. (2018). AMiRo: A Mini Robot as Versatile Teaching Platform. Proceedings of the 9th International Conference on Robotics in Education, RiE 2018, Advances in Intelligent Systems and Computing, 829, 177-188. Springer.
-
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918982Korthals, T., Kragh, M., Christiansen, P., Karstoft, H., Jørgensen, R. N., & Rückert, U. (2018). Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation. Frontiers in Robotics and AI, 5, 26. doi:10.3389/frobt.2018.00028
-
-
2018 | Report | Veröffentlicht | PUB-ID: 2934956Korthals, T., Krause, T., & Jungeblut, T. (2018). Elektronische Umfelderkennung bei Erntemaschinen. Verbundprojekt itsOWL-EUE innerhalb des Spitzenclusters it's OWL : Abschlussbericht des itsOWL-EUE Konsortiums, 1-38. doi:10.2314/GBV:1027926010
-
-
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934958Korthals, T., Kragh, M., Christiansen, P., & Rückert, U. (2017). Towards Inverse Sensor Mapping in Agriculture. In T. Kounalakis, F. van Evert, D. M. Ball, G. Kootstra, & L. Nalpantidis (Eds.), Proceedings of the IEEE IROS workshop on Agricultural Robotics. Learning from Industry 4.0 and moving into the future (pp. 6-11).
-
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913089Korthals, T., Exner, J., Schöpping, T., & Hesse, M. (2017). Semantical Occupancy Grid Mapping Framework. Presented at the European Conference on Mobile Robotics 2017 (EMCR), Paris, FR.
-
2017 | Zeitschriftenaufsatz | Angenommen | PUB-ID: 2913091Korthals, T., Krause, T., & Skiba, A. (Accepted). Einsatz Event-Basierter Systemarchitektur für Erntemaschinen zur Elektronischen Umfelderkennung. Landtechnik
-
2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2906480Meyer zu Borgsen, S., Korthals, T., Lier, F., & Wachsmuth, S. (2016). ToBI – Team of Bielefeld: Enhancing Robot Behaviors and the Role of Multi-Robotics in RoboCup@Home. In S. Behnke, S. Raymond, S. Sariel, & D. D. Lee (Eds.), Lecture Notes on Artificial Intelligence: Vol. 9776. RoboCup 2016: Robot World Cup XX (p. 645). Heidelberg: Springer. https://doi.org/10.1007/978-3-319-68792-6
-
2016 | Datenpublikation | PUB-ID: 2902276Schöpping, T., Korthals, T., Herbrechtsmeier, S., Chinapirom, T., Abel, R., Barther, M., Kenneweg, T., et al. (2016). AMiRo-OS. Bielefeld University. https://doi.org/10.4119/unibi/2902276
-
-
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906479Kragh, M., Christiansen, P., Korthals, T., Jungeblut, T., Karstoft, H., & Jørgensen, R. N. (2016). Multi-Modal Obstacle Detection and Evaluation of Occupancy Grid Mapping in Agriculture. International Conference on Agricultural Engineering
-
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902860Korthals, T., Skiba, A., Krause, T., & Jungeblut, T. (2016). Evidenzkarten-basierte Sensorfusion zur Umfelderkennung und Interpretation in der Ernte. In A. Ruckelshausen, A. Meyer-Aurich, T. Rath, G. Recke, & B. Theuvsen (Eds.), Informatik in der Land-, Forst- und Ernährungswirtschaft - Intelligente Systeme - Stand der Technik und neue Möglichkeiten (pp. 97-100).
-
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906483Herbrechtsmeier, S., Korthals, T., Schöpping, T., & Rückert, U. (2016). AMiRo: A Modular & Customizable Open-Source Mini Robot Platform. Presented at the 20th International Conference on System Theory, Control and Computing, Sinaia. doi:10.1109/ICSTCC.2016.7790746
-
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906484Korthals, T., Skiba, A., & Krause, T. (2016). Einsatz Event-Basierter Systemarchitektur für Erntemaschinen zur Elektronischen Umfelderkennung. Presented at the 74. Internationale Land.Technik, Köln.
-
2016 | Konferenzbeitrag | PUB-ID: 2906482Korthals, T., Barther, M., Schöpping, T., Herbrechtsmeier, S., & Rückert, U. (2016). Occupancy Grid Mapping with Highly Uncertain Range Sensors based on Inverse Particle Filters. Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics, 192-200. doi:10.5220/0005960001920200
-
2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2757486Schöpping, T., Korthals, T., Herbrechtsmeier, S., & Rückert, U. (2015). AMiRo: A Mini Robot for Scientific Applications. In I. Rojas, G. Joya, & A. Catala (Eds.), Lecture Notes in Computer Science: Vol. 9094. Advances in Computational Intelligence (pp. 199-205). Cham: Springer. https://doi.org/10.1007/978-3-319-19258-1_17
-
-
2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2902858Korthals, T., Krause, T., & Rückert, U. (2015). Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks. In O. Niggemann & J. Beyerer (Eds.), Machine Learning for Cyber Physical Systems (pp. 9-14). Berlin, Heidelberg: Springer Science + Business Media. doi:10.1007/978-3-662-48838-6_2
-
2013 | Konferenzbeitrag | PUB-ID: 2902861Walter, O., Korthals, T., Haeb-Umbach, R., & Raj, B. (2013). A hierarchical system for word discovery exploiting DTW-based initialization. IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013, 386-391. IEEE. doi:10.1109/ASRU.2013.6707761