18 Publikationen

Alle markieren

[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 Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on. IEEE, pp. 2200-2205.
PUB
 
[16]
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
 
[15]
2016 | Konferenzbeitrag | PUB-ID: 2904287 OA
Meier, M., et al., 2016. Tactile Convolutional Networks for Online Slip and Rotation Detection. In Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN).
PUB | PDF
 
[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 | 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
 
[12]
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. Springer Series in Bio-/Neuroinformatics. no.4 Berlin/Heidelberg: Springer, pp. 127-147.
PUB
 
[11]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2693391
Meier, M., Haschke, R., & Ritter, H., 2014. The impact of frequency distributions in a perceptual grouping oscillator network. Presented at the New Challenges in Neural Computation @ GCPR, Muenster.
PUB
 
[10]
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
 
[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 | 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
 
[7]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2561929 OA
Meier, M., Haschke, R., & Ritter, H., 2013. Perceptual Grouping through Competition in Coupled Oscillator Networks. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). Bruges (Belgium): d-side.
PUB | PDF | DOI | Download (ext.) | WoS
 
[6]
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
 
[5]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2614611
Meier, M., Haschke, R., & Ritter, H., 2013. Anticipating Intentions as Gestalt Formation: A Model Based on Neural Competition. In B. Hammer, ed. Machine Learning Report.
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.
PUB | PDF
 
[2]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2375590
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.
PUB | Download (ext.)
 
[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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18 Publikationen

Alle markieren

[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 Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on. IEEE, pp. 2200-2205.
PUB
 
[16]
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
 
[15]
2016 | Konferenzbeitrag | PUB-ID: 2904287 OA
Meier, M., et al., 2016. Tactile Convolutional Networks for Online Slip and Rotation Detection. In Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN).
PUB | PDF
 
[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 | 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
 
[12]
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. Springer Series in Bio-/Neuroinformatics. no.4 Berlin/Heidelberg: Springer, pp. 127-147.
PUB
 
[11]
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2693391
Meier, M., Haschke, R., & Ritter, H., 2014. The impact of frequency distributions in a perceptual grouping oscillator network. Presented at the New Challenges in Neural Computation @ GCPR, Muenster.
PUB
 
[10]
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
 
[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 | 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
 
[7]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2561929 OA
Meier, M., Haschke, R., & Ritter, H., 2013. Perceptual Grouping through Competition in Coupled Oscillator Networks. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). Bruges (Belgium): d-side.
PUB | PDF | DOI | Download (ext.) | WoS
 
[6]
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
 
[5]
2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2614611
Meier, M., Haschke, R., & Ritter, H., 2013. Anticipating Intentions as Gestalt Formation: A Model Based on Neural Competition. In B. Hammer, ed. Machine Learning Report.
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.
PUB | PDF
 
[2]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2375590
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.
PUB | Download (ext.)
 
[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
 

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: harvard1

Export / Einbettung