22 Publikationen
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2944814Kõiva, R., Schwank, T., Walck, G., Meier, M., Haschke, R., Ritter, H.: Barometer-based Tactile Skin for Anthropomorphic Robot Hand. Presented at the International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA (2020).PUB | Datei | DOI
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2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2945542Meier, M., Haschke, R., Ritter, H.: From Geometries to Contact Graphs. In: Farkas, I., Masulli, P., and Wermter, S. (eds.) Artificial Neural Networks and Machine Learning – ICANN 2020. Proceedings. Part II. Lecture Notes in Computer Science. 12397, p. 546-555. Springer, Cham (2020).PUB | PDF | DOI
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2020 | Datenpublikation | PUB-ID: 2945539Meier, M.: Data Publication: Tactile, Force and Torque Data of Robotic Lid Closing. Bielefeld University (2020).PUB | Dateien verfügbar | DOI
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2020 | Datenpublikation | PUB-ID: 2943056Meier, M.: Data Publication: Object Geometries and Contact Graphs. Bielefeld University (2020).PUB | Dateien verfügbar | DOI
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914911Walck, G., Haschke, R., Meier, M., Ritter, H.: 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). p. 2200-2205. IEEE, Piscataway, NJ (2017).PUB | DOI
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2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904287Meier, M., Patzelt, F., Haschke, R., Ritter, H.: Tactile Convolutional Networks for Online Slip and Rotation Detection. In: Villa, A.E.P., Masulli, P., and Pons Rivero, A.J. (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. 9887, p. 12-19. Springer, Cham (2016).PUB | PDF | DOI
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904289Büscher, G., Meier, M., Walck, G., Haschke, R., Ritter, H.: Augmenting curved robot surfaces with soft tactile skin. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). p. 1514-1519. Institute of Electrical & Electronics Engineers (IEEE), Piscataway, NJ (2015).PUB | PDF | DOI
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2015 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2693396Meier, M., Haschke, R., Ritter, H.: Learning Gestalt Formations for Oscillator Networks. In: Koprinkova-Hristova, P., Mladenov, V., and Kasabov, N.K. (eds.) Artificial Neural Networks. Methods and Applications in Bio-/Neuroinformatics . Springer Series in Bio-/Neuroinformatics. 4, p. 127-147. Springer, Cham (2015).PUB | DOI
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2904305Baum, M., Meier, M., Schilling, M.: 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) (2015).PUB | PDF | DOI
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2693391Meier, M., Haschke, R., Ritter, H.: The impact of frequency distributions in a perceptual grouping oscillator network. In: Hammer, B., Martinez, T., and Villmann, T. (eds.) Workshop New Challenges in Neural Computation 2014. Machine Learning Reports. 2014, p. 11-14. Universität Bielefeld, Technische Fakultät, Bielefeld (2014).PUB | PDF
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2651250Meier, M., Haschke, R., Ritter, H.: Perceptual Grouping by Entrainment in Coupled Kuramoto Oscillator Networks. Network: Computation in Neural Systems. 25, 72-84 (2014).PUB | DOI | WoS | PubMed | Europe PMC
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2561929Meier, M., Haschke, R., Ritter, H.: Perceptual Grouping through Competition in Coupled Oscillator Networks. In: Verleysen, M. (ed.) Proceedings - 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Ciaco , Louvain-la-Neuve (2013).PUB | PDF | Download (ext.)
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2614611Meier, M., Haschke, R., Ritter, H.: Anticipating Intentions as Gestalt Formation: A Model Based on Neural Competition. In: Hammer, B., Martinez, T., and Villmann, T. (eds.) Workshop New Challenges in Neural Computation 2013. Machine Learning Reports. 2013, p. 43-52. Universität Bielefeld, Technische Fakultät, Bielefeld (2013).PUB | PDF
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2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2580651Meier, M., Haschke, R., Ritter, H.: Learning of Lateral Interactions for Perceptual Grouping employing Information Gain. Lecture Notes in Computer Science, 8131. 178-185 (2013).PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2528546Meier, M., Haschke, R., Ritter, H.: Reification through Perceptual Grouping. 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012). p. 612-617. Osaka, Japan (2012).PUB
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2375590Meier, M., Haschke, R., Ritter, H.: Hallucinating Image Features to Supplement Perceptual Groups. In: Barbara, H. and Thomas, V. (eds.) Workshop New Challenges in Neural Computation 2011. Machine Learning Reports. p. 24-28. (2011).PUB | PDF | Download (ext.)
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2143849Meier, M., Schöpfer, M., Haschke, R., Ritter, H.: A Probabilistic Approach to Tactile Shape Reconstruction. IEEE Transactions on Robotics. 27, 630-635 (2011).PUB | DOI | Download (ext.) | WoS