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.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, Wermter S, eds. Artificial Neural Networks and Machine Learning – ICANN 2020. Proceedings. Part II. Lecture Notes in Computer Science. Vol 12397. Cham: Springer; 2020: 546-555.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. In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Piscataway, NJ: IEEE; 2017: 2200-2205.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 AEP, Masulli P, Pons Rivero AJ, 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. Vol 9887. Cham: Springer; 2016: 12-19.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. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Piscataway, NJ: Institute of Electrical & Electronics Engineers (IEEE); 2015: 1514-1519.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, Kasabov NK, eds. Artificial Neural Networks. Methods and Applications in Bio-/Neuroinformatics . Springer Series in Bio-/Neuroinformatics. Vol 4. Cham: Springer; 2015: 127-147.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. In: 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, Villmann T, eds. Workshop New Challenges in Neural Computation 2014. Machine Learning Reports. Vol 2014. Bielefeld: Universität Bielefeld, Technische Fakultät; 2014: 11-14.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. 2014;25(1-2):72-84.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. Louvain-la-Neuve : Ciaco ; 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, Villmann T, eds. Workshop New Challenges in Neural Computation 2013. Machine Learning Reports. Vol 2013. Bielefeld: Universität Bielefeld, Technische Fakultät; 2013: 43-52.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. 2013:178-185.PUB
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2528546Meier M, Haschke R, Ritter H. Reification through Perceptual Grouping. In: 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012). Osaka, Japan; 2012: 612-617.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, Thomas V, eds. Workshop New Challenges in Neural Computation 2011. Machine Learning Reports. 2011: 24-28.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. 2011;27(3):630-635.PUB | DOI | Download (ext.) | WoS