35 Publikationen

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  • [35]
    2021 | Bielefelder E-Dissertation | PUB-ID: 2959848 OA
    T. Korthals, 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
    A. Melnik, et al., “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, vol. 8, 2021, : 538773.
    PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
     
  • [33]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2943500
    M. Schilling, K. Konen, and T. Korthals, “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.
    PUB
     
  • [32]
    2020 | Konferenzbeitrag | PUB-ID: 2945886 OA
    N. Bach, et al., “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, 2020.
    PUB | PDF
     
  • [31]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937505 OA
    C. Lian Sang, et al., “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, IEEE, 2019.
    PUB | PDF | DOI | Download (ext.)
     
  • [30]
    2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937493 OA
    C. Lian Sang, et al., “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, IEEE, 2019.
    PUB | PDF | DOI | Download (ext.)
     
  • [29]
    2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2937362
    J.D. Homburg, et al., “Constraint Exploration of Convolutional Network Architectures with Neuroevolution”, Advances in Computational Intelligence. IWANN 2019, I. Rojas, G. Joya, and A. Catala, eds., Lecture Notes in Computer Science, vol. 11507, Cham: Springer, 2019, pp.735-746.
    PUB | DOI
     
  • [28]
    2019 | Zeitschriftenaufsatz | PUB-ID: 2937519 OA
    T. Korthals, et al., “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, pp. 1-2.
    PUB | PDF
     
  • [27]
    2019 | Zeitschriftenaufsatz | PUB-ID: 2937517 OA
    K. Konen, et al., “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, pp. 1-3.
    PUB | PDF
     
  • [26]
    2019 | Preprint | Veröffentlicht | PUB-ID: 2938837
    T. Korthals, M. Schilling, and J. Leitner, “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
    T. Korthals, et al., “Multi-Modal Generative Models for Learning Epistemic Active Sensing”, 2019 IEEE International Conference on Robotics and Automation, Piscataway, NJ: IEEE, Accepted.
    PUB
     
  • [24]
    2019 | Konferenzbeitrag | PUB-ID: 2937511 OA
    T. Korthals, et al., “Fiducial Marker based Extrinsic Camera Calibration for a Robot Benchmarking Platform”, European Conference on Mobile Robots, ECMR 2019, Prague, CZ, September 4-6, 2019, 2019, pp.1-6.
    PUB | PDF
     
  • [23]
    2019 | Preprint | PUB-ID: 2937523 OA
    T. Korthals, “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
    T. Korthals, et al., “Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion”, 22st International Conference on Information Fusion, (FUSION) 2019, Ottawa, CA, July 2-5, 2019, 2019, pp.1-8.
    PUB | PDF
     
  • [21]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2930691
    T. Schöpping, et al., “Generic Architecture for Modular Real-time Systems in Robotics”, Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics. , K. Madani and O. Gusikhin, eds., vol. 2, Setúbal, Portugal : SciTePress, 2018, pp.403-410.
    PUB | DOI
     
  • [20]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918988
    T. Schöpping, et al., “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, vol. 829, Springer, 2018, pp.177-188.
    PUB
     
  • [19]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918982 OA
    T. Korthals, et al., “Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation”, Frontiers in Robotics and AI, vol. 5, 2018, : 26.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [18]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2934971
    T. Korthals, J. Leitner, and U. Rückert, “Coordinated Heterogeneous Distributed Perception based on Latent Space Representation”, CoRR, 2018.
    PUB | arXiv
     
  • [17]
    2018 | Report | Veröffentlicht | PUB-ID: 2934956
    T. Korthals, T. Krause, and T. Jungeblut, 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
    T. Korthals, et al., “Path Evaluation via HMM on Semantical Occupancy Grid Maps”, arXiv:1805.02944, Accepted.
    PUB | arXiv
     
  • [15]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2934958
    T. Korthals, et al., “Towards Inverse Sensor Mapping in Agriculture”, Proceedings of the IEEE IROS workshop on Agricultural Robotics. Learning from Industry 4.0 and moving into the future, T. Kounalakis, et al., eds., 2017, pp.6-11.
    PUB | arXiv
     
  • [14]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913089
    T. Korthals, et al., “Semantical Occupancy Grid Mapping Framework”, Presented at the European Conference on Mobile Robotics 2017 (EMCR), Paris, FR, 2017.
    PUB
     
  • [13]
    2017 | Zeitschriftenaufsatz | Angenommen | PUB-ID: 2913091
    T. Korthals, T. Krause, and A. Skiba, “Einsatz Event-Basierter Systemarchitektur für Erntemaschinen zur Elektronischen Umfelderkennung”, Landtechnik, Accepted.
    PUB
     
  • [12]
    2016 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2906480
    S. Meyer zu Borgsen, et al., “ToBI – Team of Bielefeld: Enhancing Robot Behaviors and the Role of Multi-Robotics in RoboCup@Home”, RoboCup 2016: Robot World Cup XX, S. Behnke, et al., eds., Lecture Notes on Artificial Intelligence, vol. 9776, Heidelberg: Springer, 2016, pp.645.
    PUB | DOI
     
  • [11]
    2016 | Datenpublikation | PUB-ID: 2902276 OA
    T. Schöpping, et al., AMiRo-OS, Bielefeld University, 2016.
    PUB | Dateien verfügbar | DOI
     
  • [10]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904672 OA
    S. Meyer zu Borgsen, T. Korthals, and S. Wachsmuth, “ToBI-Team of Bielefeld The Human-Robot Interaction System for RoboCup@Home 2016”, Presented at the RoboCup, Leipzig, Germany, 2016.
    PUB | PDF
     
  • [9]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906479
    M. Kragh, et al., “Multi-Modal Obstacle Detection and Evaluation of Occupancy Grid Mapping in Agriculture”, 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
    T. Korthals, et al., “Evidenzkarten-basierte Sensorfusion zur Umfelderkennung und Interpretation in der Ernte”, Informatik in der Land-, Forst- und Ernährungswirtschaft - Intelligente Systeme - Stand der Technik und neue Möglichkeiten, A. Ruckelshausen, et al., eds., 2016, pp.97-100.
    PUB | PDF
     
  • [7]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906483
    S. Herbrechtsmeier, et al., “AMiRo: A Modular & Customizable Open-Source Mini Robot Platform”, Presented at the 20th International Conference on System Theory, Control and Computing, Sinaia, IEEE, 2016.
    PUB | DOI
     
  • [6]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2906484
    T. Korthals, A. Skiba, and T. Krause, “Einsatz Event-Basierter Systemarchitektur für Erntemaschinen zur Elektronischen Umfelderkennung”, Presented at the 74. Internationale Land.Technik, Köln, 2016.
    PUB
     
  • [5]
    2016 | Konferenzbeitrag | PUB-ID: 2906482
    T. Korthals, et al., “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, 2016, pp.192-200.
    PUB | DOI
     
  • [4]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2757486
    T. Schöpping, et al., “AMiRo: A Mini Robot for Scientific Applications”, Advances in Computational Intelligence, I. Rojas, G. Joya, and A. Catala, eds., Lecture Notes in Computer Science, vol. 9094, Cham: Springer, 2015, pp.199-205.
    PUB | DOI
     
  • [3]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900889 OA
    S. Meyer zu Borgsen, et al., “ToBI-Team of Bielefeld The Human-Robot Interaction System for RoboCup@Home 2015”, Presented at the RoboCup 2015, Hefei, China, 2015.
    PUB | PDF
     
  • [2]
    2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2902858
    T. Korthals, T. Krause, and U. Rückert, “Evidence Grid Based Information Fusion for Semantic Classifiers in Dynamic Sensor Networks”, Machine Learning for Cyber Physical Systems, O. Niggemann and J. Beyerer, eds., Berlin, Heidelberg: Springer Science + Business Media, 2015, pp.9-14.
    PUB | DOI
     
  • [1]
    2013 | Konferenzbeitrag | PUB-ID: 2902861
    O. Walter, et al., “A hierarchical system for word discovery exploiting DTW-based initialization”, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013, IEEE, 2013, pp.386-391.
    PUB | DOI | Download (ext.)
     

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