22 Publikationen

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  • [22]
    2023 | Bielefelder E-Dissertation | PUB-ID: 2980310 OA
    Meier, M. (2023). Perceptual Grouping in Kuramoto Oscillator Networks. Bielefeld: Universität Bielefeld. https://doi.org/10.4119/unibi/2980310
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  • [21]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2944814 OA
    Kõiva, R., Schwank, T., Walck, G., Meier, M., Haschke, R., & Ritter, H. (2020). Barometer-based Tactile Skin for Anthropomorphic Robot Hand. Presented at the International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA. https://doi.org/10.1109/IROS45743.2020.9341691
    PUB | Datei | DOI
     
  • [20]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2945542 OA
    Meier, M., Haschke, R., & Ritter, H. (2020). From Geometries to Contact Graphs. In I. Farkas, P. Masulli, & S. Wermter (Eds.), Lecture Notes in Computer Science: Vol. 12397. Artificial Neural Networks and Machine Learning – ICANN 2020. Proceedings. Part II (pp. 546-555). Cham: Springer. doi:10.1007/978-3-030-61616-8_44
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  • [19]
    2020 | Datenpublikation | PUB-ID: 2945539 OA
    Meier, M. (2020). Data Publication: Tactile, Force and Torque Data of Robotic Lid Closing. Bielefeld University. doi:10.4119/unibi/2945539
    PUB | Dateien verfügbar | DOI
     
  • [18]
    2020 | Datenpublikation | PUB-ID: 2943056 OA
    Meier, M. (2020). Data Publication: Object Geometries and Contact Graphs. Bielefeld University. doi:10.4119/unibi/2943056
    PUB | Dateien verfügbar | DOI
     
  • [17]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914911
    Walck, G., Haschke, R., Meier, M., & Ritter, H. (2017). Robot Self-Protection by Virtual Actuator Fatigue: Application to Tendon-driven Dexterous Hands During Grasping. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2200-2205. Piscataway, NJ: IEEE. https://doi.org/10.1109/IROS.2017.8206039
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  • [16]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904287 OA
    Meier, M., Patzelt, F., Haschke, R., & Ritter, H. (2016). Tactile Convolutional Networks for Online Slip and Rotation Detection. In A. E. P. Villa, P. Masulli, & A. J. Pons Rivero (Eds.), Lecture Notes in Computer Science: Vol. 9887. Artificial Neural Networks and Machine Learning – ICANN 2016 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II (pp. 12-19). Cham: Springer. https://doi.org/10.1007/978-3-319-44781-0_2
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  • [15]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907536 OA
    Meier, M., Walck, G., Haschke, R., & Ritter, H. (2016). Distinguishing sliding from slipping during object pushing. Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on IEEE. doi:10.1109/IROS.2016.7759820
    PUB | PDF | DOI
     
  • [14]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904289 OA
    Büscher, G., Meier, M., Walck, G., Haschke, R., & Ritter, H. (2015). Augmenting curved robot surfaces with soft tactile skin. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1514-1519. Piscataway, NJ: Institute of Electrical & Electronics Engineers (IEEE). doi:10.1109/iros.2015.7353568
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  • [13]
    2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2693396
    Meier, M., Haschke, R., & Ritter, H. (2015). Learning Gestalt Formations for Oscillator Networks. In P. Koprinkova-Hristova, V. Mladenov, & N. K. Kasabov (Eds.), Springer Series in Bio-/Neuroinformatics: Vol. 4. Artificial Neural Networks. Methods and Applications in Bio-/Neuroinformatics (pp. 127-147). Cham: Springer. https://doi.org/10.1007/978-3-319-09903-3_7
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  • [12]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904305 OA
    Baum, M., Meier, M., & Schilling, M. (2015). Population based Mean of Multiple Computations networks: A building block for kinematic models. 2015 International Joint Conference on Neural Networks (IJCNN) Institute of Electrical & Electronics Engineers (IEEE). doi:10.1109/ijcnn.2015.7280791
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  • [11]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2675158
    Meier, M., Haschke, R., & Ritter, H. (2014). Perceptual grouping through competition in coupled oscillator networks. Neurocomputing, 141, 76-83. https://doi.org/10.1016/j.neucom.2014.02.011
    PUB | DOI | WoS
     
  • [10]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2693391 OA
    Meier, M., Haschke, R., & Ritter, H. (2014). The impact of frequency distributions in a perceptual grouping oscillator network. In B. Hammer, T. Martinez, & T. Villmann (Eds.), Machine Learning Reports: Vol. 2014. Workshop New Challenges in Neural Computation 2014 (pp. 11-14). Bielefeld: Universität Bielefeld, Technische Fakultät.
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  • [9]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2651250
    Meier, M., Haschke, R., & Ritter, H. (2014). Perceptual Grouping by Entrainment in Coupled Kuramoto Oscillator Networks. Network: Computation in Neural Systems, 25(1-2), 72-84. https://doi.org/10.3109/0954898X.2014.882524
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [8]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2561929 OA
    Meier, M., Haschke, R., & Ritter, H. (2013). Perceptual Grouping through Competition in Coupled Oscillator Networks. In M. Verleysen (Ed.), Proceedings - 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Louvain-la-Neuve : Ciaco .
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  • [7]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2614611 OA
    Meier, M., Haschke, R., & Ritter, H. (2013). Anticipating Intentions as Gestalt Formation: A Model Based on Neural Competition. In B. Hammer, T. Martinez, & T. Villmann (Eds.), Machine Learning Reports: Vol. 2013. Workshop New Challenges in Neural Computation 2013 (pp. 43-52). Bielefeld: Universität Bielefeld, Technische Fakultät.
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  • [6]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2535276
    Li, Q., Meier, M., Haschke, R., Ritter, H., & Bolder, B. (2013). Rotary Object Dexterous Manipulation in Hand: A Feedback-based Method. International Journal of Mechatronics and Automation (IJMA), 3(1), 36. doi:10.1504/ijma.2013.052624
    PUB | DOI
     
  • [5]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2580651
    Meier, M., Haschke, R., & Ritter, H. (2013). Learning of Lateral Interactions for Perceptual Grouping employing Information Gain. Lecture Notes in Computer Science, 8131, 178-185.
    PUB
     
  • [4]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2528546
    Meier, M., Haschke, R., & Ritter, H. (2012). Reification through Perceptual Grouping. 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), 612-617. Osaka, Japan.
    PUB
     
  • [3]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2498026 OA
    Li, Q., Meier, M., Haschke, R., Ritter, H., & Bolder, B. (2012). Object Dexterous Manipulation in Hand Based on Finite State Machine. Proc. ICMA2012, 1185-1190.
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  • [2]
    2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2375590 OA
    Meier, M., Haschke, R., & Ritter, H. (2011). Hallucinating Image Features to Supplement Perceptual Groups. In H. Barbara & V. Thomas (Eds.), Machine Learning Reports. Workshop New Challenges in Neural Computation 2011 (pp. 24-28).
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  • [1]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2143849
    Meier, M., Schöpfer, M., Haschke, R., & Ritter, H. (2011). A Probabilistic Approach to Tactile Shape Reconstruction. IEEE Transactions on Robotics, 27(3), 630-635. https://doi.org/10.1109/TRO.2011.2120830
    PUB | DOI | Download (ext.) | WoS
     

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