Timo Korthals

tkorthals@cit-ec.uni-bielefeld.de
ORCID logo https://orcid.org/0000-0003-4297-7197

PEVZ-ID
42006529

35 Publikationen

Alle markieren

  • [35]
    2021 | Bielefelder E-Dissertation | PUB-ID: 2959848 OA
    Korthals, T. (2021). Deep generative models for multi-modal perception under the influence of ambiguity. Bielefeld: Universität Bielefeld. https://doi.org/10.4119/unibi/2959848
    PUB | PDF | DOI
     
  • [34]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956099 OA
    Melnik, 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
    PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [33]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2943500
    Schilling, 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.
    PUB
     
  • [32]
    2020 | Konferenzbeitrag | PUB-ID: 2945886 OA
    Bach, 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.
    PUB | PDF
     
  • [31]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937505 OA
    Lian 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
    PUB | PDF | DOI | Download (ext.)
     
  • [30]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937493 OA
    Lian 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
    PUB | PDF | DOI | Download (ext.)
     
  • [29]
    2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2937362
    Homburg, 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
    PUB | DOI
     
  • [28]
    2019 | Zeitschriftenaufsatz | PUB-ID: 2937519 OA
    Korthals, 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.
    PUB | PDF
     
  • [27]
    2019 | Zeitschriftenaufsatz | PUB-ID: 2937517 OA
    Konen, 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.
    PUB | PDF
     
  • [26]
    2019 | Preprint | Veröffentlicht | PUB-ID: 2938837
    Korthals, T., Schilling, M., & Leitner, J. (2019). A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing
    PUB | Download (ext.) | arXiv
     
  • [25]
    2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2934957
    Korthals, 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.
    PUB
     
  • [24]
    2019 | Konferenzbeitrag | PUB-ID: 2937511 OA
    Korthals, T., Wolf, D., Rudolph, D., Hesse, M., & Rückert, U. (2019). Fiducial Marker based Extrinsic Camera Calibration for a Robot Benchmarking Platform. European Conference on Mobile Robots, ECMR 2019, Prague, CZ, September 4-6, 2019, 1-6.
    PUB | PDF
     
  • [23]
    2019 | Preprint | PUB-ID: 2937523 OA
    Korthals, T. (2019). M²VAE - Derivation of a Multi-Modal Variational Autoencoder Objective from the Marginal Joint Log-Likelihood. arXiv: 1903.07303v1
    PUB | PDF | arXiv
     
  • [22]
    2019 | Konferenzbeitrag | PUB-ID: 2937521 OA
    Korthals, T., Hesse, M., Leitner, J., Melnik, A., & Rückert, U. (2019). Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion. 22st International Conference on Information Fusion, (FUSION) 2019, Ottawa, CA, July 2-5, 2019, 1-8.
    PUB | PDF
     
  • [21]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2930691
    Schöpping, 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
    PUB | DOI
     
  • [20]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918988
    Schöpping, 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.
    PUB
     
  • [19]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918982 OA
    Korthals, 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
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [18]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2934971
    Korthals, T., Leitner, J., & Rückert, U. (2018). Coordinated Heterogeneous Distributed Perception based on Latent Space Representation. CoRR
    PUB | arXiv
     
  • [17]
    2018 | Report | Veröffentlicht | PUB-ID: 2934956
    Korthals, 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
    PUB | DOI
     
  • [16]
    2018 | Preprint | Angenommen | PUB-ID: 2919730
    Korthals, T., Exner, J., Schöpping, T., & Hesse, M. (Accepted). Path Evaluation via HMM on Semantical Occupancy Grid Maps. arXiv:1805.02944
    PUB | arXiv
     
  • [15]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934958
    Korthals, 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).
    PUB | arXiv
     
  • [14]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913089
    Korthals, 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.
    PUB
     
  • [13]
    2017 | Zeitschriftenaufsatz | Angenommen | PUB-ID: 2913091
    Korthals, T., Krause, T., & Skiba, A. (Accepted). Einsatz Event-Basierter Systemarchitektur für Erntemaschinen zur Elektronischen Umfelderkennung. Landtechnik
    PUB
     
  • [12]
    2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2906480
    Meyer 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
    PUB | DOI
     
  • [11]
    2016 | Datenpublikation | PUB-ID: 2902276 OA
    Schöpping, 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
    PUB | Dateien verfügbar | DOI
     
  • [10]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904672 OA
    Meyer zu Borgsen, S., Korthals, T., & Wachsmuth, S. (2016). ToBI-Team of Bielefeld The Human-Robot Interaction System for RoboCup@Home 2016. Presented at the RoboCup, Leipzig, Germany.
    PUB | PDF
     
  • [9]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906479
    Kragh, 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
    PUB | Download (ext.)
     
  • [8]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902860 OA
    Korthals, 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).
    PUB | PDF
     
  • [7]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906483
    Herbrechtsmeier, 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
    PUB | DOI
     
  • [6]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906484
    Korthals, T., Skiba, A., & Krause, T. (2016). Einsatz Event-Basierter Systemarchitektur für Erntemaschinen zur Elektronischen Umfelderkennung. Presented at the 74. Internationale Land.Technik, Köln.
    PUB
     
  • [5]
    2016 | Konferenzbeitrag | PUB-ID: 2906482
    Korthals, 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
    PUB | DOI
     
  • [4]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2757486
    Schöpping, 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
    PUB | DOI
     
  • [3]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900889 OA
    Meyer zu Borgsen, S., Korthals, T., Ziegler, L., & Wachsmuth, S. (2015). ToBI-Team of Bielefeld The Human-Robot Interaction System for RoboCup@Home 2015. Presented at the RoboCup 2015, Hefei, China.
    PUB | PDF
     
  • [2]
    2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2902858
    Korthals, 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
    PUB | DOI
     
  • [1]
    2013 | Konferenzbeitrag | PUB-ID: 2902861
    Walter, 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
    PUB | DOI | Download (ext.)
     
Markierte Publikation(en)

Suche

Publikationen filtern

Darstellung / Sortierung

Export / Einbettung