35 Publikationen

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  • [35]
    2021 | Bielefelder E-Dissertation | PUB-ID: 2959848 OA
    Korthals T. Deep generative models for multi-modal perception under the influence of ambiguity. Bielefeld: Universität Bielefeld; 2021.
    PUB | PDF | DOI
     
  • [34]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956099 OA
    Melnik A, Lach LM, Plappert M, Korthals T, Haschke R, Ritter H. 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. 2021;8: 538773.
    PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [33]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2943500
    Schilling M, Konen K, Korthals T. 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. Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3. In: 6th International Conference, LOD 2020, Siena, Italy, Proceedings. Lecture Notes in Computer Science. Springer; 2020.
    PUB | PDF
     
  • [31]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937505 OA
    Lian Sang C, Adams M, Hesse M, Hörmann T, Korthals T, Rückert U. 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.
    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. 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.
    PUB | PDF | DOI | Download (ext.)
     
  • [29]
    2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2937362
    Homburg JD, Adams M, Thies M, Korthals T, Hesse M, Rückert U. Constraint Exploration of Convolutional Network Architectures with Neuroevolution. In: Rojas I, Joya G, Catala A, eds. Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science. Vol 11507. Cham: Springer; 2019: 735-746.
    PUB | DOI
     
  • [28]
    2019 | Zeitschriftenaufsatz | PUB-ID: 2937519 OA
    Korthals T, Melnik A, Hesse M, Leitner J. 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. 2019:1-2.
    PUB | PDF
     
  • [27]
    2019 | Zeitschriftenaufsatz | PUB-ID: 2937517 OA
    Konen K, Korthals T, Melnik A, Schilling M. 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. 2019:1-3.
    PUB | PDF
     
  • [26]
    2019 | Preprint | Veröffentlicht | PUB-ID: 2938837
    Korthals T, Schilling M, Leitner J. A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing. 2019.
    PUB | Download (ext.) | arXiv
     
  • [25]
    2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2934957
    Korthals T, Rudolph D, Leitner J, Hesse M, Rückert U. Multi-Modal Generative Models for Learning Epistemic Active Sensing. In: 2019 IEEE International Conference on Robotics and Automation. Piscataway, NJ: IEEE; Accepted.
    PUB
     
  • [24]
    2019 | Konferenzbeitrag | PUB-ID: 2937511 OA
    Korthals T, Wolf D, Rudolph D, Hesse M, Rückert U. Fiducial Marker based Extrinsic Camera Calibration for a Robot Benchmarking Platform. In: European Conference on Mobile Robots, ECMR 2019, Prague, CZ, September 4-6, 2019. 2019: 1-6.
    PUB | PDF
     
  • [23]
    2019 | Preprint | PUB-ID: 2937523 OA
    Korthals T. M²VAE - Derivation of a Multi-Modal Variational Autoencoder Objective from the Marginal Joint Log-Likelihood. arXiv: 1903.07303v1. 2019.
    PUB | PDF | arXiv
     
  • [22]
    2019 | Konferenzbeitrag | PUB-ID: 2937521 OA
    Korthals T, Hesse M, Leitner J, Melnik A, Rückert U. Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion. In: 22st International Conference on Information Fusion, (FUSION) 2019, Ottawa, CA, July 2-5, 2019. 2019: 1-8.
    PUB | PDF
     
  • [21]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2930691
    Schöpping T, Korthals T, Hesse M, Rückert U. Generic Architecture for Modular Real-time Systems in Robotics. In: Madani K, Gusikhin O, eds. Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics. . Vol 2. Setúbal, Portugal : SciTePress; 2018: 403-410.
    PUB | DOI
     
  • [20]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918988
    Schöpping T, Korthals T, Hesse M, Rückert U. AMiRo: A Mini Robot as Versatile Teaching Platform. In: Proceedings of the 9th International Conference on Robotics in Education, RiE 2018. Advances in Intelligent Systems and Computing. Vol 829. Springer; 2018: 177-188.
    PUB
     
  • [19]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918982 OA
    Korthals T, Kragh M, Christiansen P, Karstoft H, Jørgensen RN, Rückert U. Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation. Frontiers in Robotics and AI. 2018;5: 26.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [18]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2934971
    Korthals T, Leitner J, Rückert U. Coordinated Heterogeneous Distributed Perception based on Latent Space Representation. CoRR. 2018.
    PUB | arXiv
     
  • [17]
    2018 | Report | Veröffentlicht | PUB-ID: 2934956
    Korthals T, Krause T, Jungeblut T. Elektronische Umfelderkennung bei Erntemaschinen. Verbundprojekt itsOWL-EUE innerhalb des Spitzenclusters it's OWL : Abschlussbericht des itsOWL-EUE Konsortiums.; 2018.
    PUB | DOI
     
  • [16]
    2018 | Preprint | Angenommen | PUB-ID: 2919730
    Korthals T, Exner J, Schöpping T, Hesse M. Path Evaluation via HMM on Semantical Occupancy Grid Maps. arXiv:1805.02944. Accepted.
    PUB | arXiv
     
  • [15]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934958
    Korthals T, Kragh M, Christiansen P, Rückert U. Towards Inverse Sensor Mapping in Agriculture. In: Kounalakis T, van Evert F, Ball DM, Kootstra G, Nalpantidis L, eds. Proceedings of the IEEE IROS workshop on Agricultural Robotics. Learning from Industry 4.0 and moving into the future. 2017: 6-11.
    PUB | arXiv
     
  • [14]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913089
    Korthals T, Exner J, Schöpping T, Hesse M. 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. Einsatz Event-Basierter Systemarchitektur für Erntemaschinen zur Elektronischen Umfelderkennung. Landtechnik. Accepted.
    PUB
     
  • [12]
    2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2906480
    Meyer zu Borgsen S, Korthals T, Lier F, Wachsmuth S. ToBI – Team of Bielefeld: Enhancing Robot Behaviors and the Role of Multi-Robotics in RoboCup@Home. In: Behnke S, Raymond S, Sariel S, Lee DD, eds. RoboCup 2016: Robot World Cup XX. Lecture Notes on Artificial Intelligence. Vol 9776. Heidelberg: Springer; 2016: 645.
    PUB | DOI
     
  • [11]
    2016 | Datenpublikation | PUB-ID: 2902276 OA
    Schöpping T, Korthals T, Herbrechtsmeier S, et al. AMiRo-OS. Bielefeld University; 2016.
    PUB | Dateien verfügbar | DOI
     
  • [10]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904672 OA
    Meyer zu Borgsen S, Korthals T, Wachsmuth S. 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 RN. Multi-Modal Obstacle Detection and Evaluation of Occupancy Grid Mapping in Agriculture. In: International Conference on Agricultural Engineering. Aarhus: International Commission of Agricultural and Biosystems Engineering; 2016.
    PUB | Download (ext.)
     
  • [8]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2902860 OA
    Korthals T, Skiba A, Krause T, Jungeblut T. Evidenzkarten-basierte Sensorfusion zur Umfelderkennung und Interpretation in der Ernte. In: Ruckelshausen A, Meyer-Aurich A, Rath T, Recke G, Theuvsen B, eds. Informatik in der Land-, Forst- und Ernährungswirtschaft - Intelligente Systeme - Stand der Technik und neue Möglichkeiten. 2016: 97-100.
    PUB | PDF
     
  • [7]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906483
    Herbrechtsmeier S, Korthals T, Schöpping T, Rückert U. AMiRo: A Modular & Customizable Open-Source Mini Robot Platform. Presented at the 20th International Conference on System Theory, Control and Computing, Sinaia.
    PUB | DOI
     
  • [6]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906484
    Korthals T, Skiba A, Krause T. 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. Occupancy Grid Mapping with Highly Uncertain Range Sensors based on Inverse Particle Filters. In: Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics. 2016: 192-200.
    PUB | DOI
     
  • [4]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2757486
    Schöpping T, Korthals T, Herbrechtsmeier S, Rückert U. AMiRo: A Mini Robot for Scientific Applications. In: Rojas I, Joya G, Catala A, eds. Advances in Computational Intelligence. Lecture Notes in Computer Science. Vol 9094. Cham: Springer; 2015: 199-205.
    PUB | DOI
     
  • [3]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900889 OA
    Meyer zu Borgsen S, Korthals T, Ziegler L, Wachsmuth S. 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. Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks. In: Niggemann O, Beyerer J, eds. Machine Learning for Cyber Physical Systems. Berlin, Heidelberg: Springer Science + Business Media; 2015: 9-14.
    PUB | DOI
     
  • [1]
    2013 | Konferenzbeitrag | PUB-ID: 2902861
    Walter O, Korthals T, Haeb-Umbach R, Raj B. A hierarchical system for word discovery exploiting DTW-based initialization. In: IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013. IEEE; 2013: 386-391.
    PUB | DOI | Download (ext.)
     

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