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.
    PUB | PDF | DOI
     
  • [21]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2944814 OA
    Kõiva, R., et al., 2020. Barometer-based Tactile Skin for Anthropomorphic Robot Hand. Presented at the International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA.
    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. Artificial Neural Networks and Machine Learning – ICANN 2020. Proceedings. Part II. Lecture Notes in Computer Science. no.12397 Cham: Springer, pp. 546-555.
    PUB | PDF | DOI
     
  • [19]
    2020 | Datenpublikation | PUB-ID: 2945539 OA
    Meier, M., 2020. Data Publication: Tactile, Force and Torque Data of Robotic Lid Closing, Bielefeld University.
    PUB | Dateien verfügbar | DOI
     
  • [18]
    2020 | Datenpublikation | PUB-ID: 2943056 OA
    Meier, M., 2020. Data Publication: Object Geometries and Contact Graphs, Bielefeld University.
    PUB | Dateien verfügbar | DOI
     
  • [17]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914911
    Walck, G., et al., 2017. Robot Self-Protection by Virtual Actuator Fatigue: Application to Tendon-driven Dexterous Hands During Grasping. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Piscataway, NJ: IEEE, pp. 2200-2205.
    PUB | DOI
     
  • [16]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904287 OA
    Meier, M., et al., 2016. Tactile Convolutional Networks for Online Slip and Rotation Detection. In A. E. P. Villa, P. Masulli, & A. J. Pons Rivero, eds. Artificial Neural Networks and Machine Learning – ICANN 2016 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. Lecture Notes in Computer Science. no.9887 Cham: Springer, pp. 12-19.
    PUB | PDF | DOI
     
  • [15]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2907536 OA
    Meier, M., et al., 2016. Distinguishing sliding from slipping during object pushing. In Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on. IEEE.
    PUB | PDF | DOI
     
  • [14]
    2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904289 OA
    Büscher, G., et al., 2015. Augmenting curved robot surfaces with soft tactile skin. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Piscataway, NJ: Institute of Electrical & Electronics Engineers (IEEE), pp. 1514-1519.
    PUB | PDF | DOI
     
  • [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. Artificial Neural Networks. Methods and Applications in Bio-/Neuroinformatics . Springer Series in Bio-/Neuroinformatics. no.4 Cham: Springer, pp. 127-147.
    PUB | DOI
     
  • [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. In 2015 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical & Electronics Engineers (IEEE).
    PUB | PDF | DOI
     
  • [11]
    2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2675158
    Meier, M., Haschke, R., & Ritter, H., 2014. Perceptual grouping through competition in coupled oscillator networks. Neurocomputing, 141, p 76-83.
    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. Workshop New Challenges in Neural Computation 2014. Machine Learning Reports. no.2014 Bielefeld: Universität Bielefeld, Technische Fakultät, pp. 11-14.
    PUB | PDF
     
  • [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), p 72-84.
    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. Workshop New Challenges in Neural Computation 2013. Machine Learning Reports. no.2013 Bielefeld: Universität Bielefeld, Technische Fakultät, pp. 43-52.
    PUB | PDF
     
  • [6]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2535276
    Li, Q., et al., 2013. Rotary Object Dexterous Manipulation in Hand: A Feedback-based Method. International Journal of Mechatronics and Automation (IJMA), 3(1): 36.
    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, , p 178-185.
    PUB
     
  • [4]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2528546
    Meier, M., Haschke, R., & Ritter, H., 2012. Reification through Perceptual Grouping. In 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012). Osaka, Japan, pp. 612-617.
    PUB
     
  • [3]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2498026 OA
    Li, Q., et al., 2012. Object Dexterous Manipulation in Hand Based on Finite State Machine. In Proc. ICMA2012. pp. 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. Workshop New Challenges in Neural Computation 2011. Machine Learning Reports. pp. 24-28.
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  • [1]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2143849
    Meier, M., et al., 2011. A Probabilistic Approach to Tactile Shape Reconstruction. IEEE Transactions on Robotics, 27(3), p 630-635.
    PUB | DOI | Download (ext.) | WoS
     

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