16 Publikationen

Alle markieren

[16]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2280540
Maycock, J., et al., 2011. Robust Tracking of Human Hand Postures for Robot Teaching. In International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ, pp. 2947-2952.
PUB | DOI
 
[15]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2141974
Steffen, J.F., et al., 2011. Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing, 74(9), p 1372-1381.
PUB | DOI | WoS
 
[14]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2280566
Steffen, J.F., Maycock, J., & Ritter, H., 2011. Robust dataglove mapping for recording human hand postures. In International Conference on Intelligent Robotics and Applications (ICIRA). Lecture Notes in Computer Science. no.7102 Springer, pp. 34-45.
PUB | DOI
 
[13]
2010 | Bielefelder E-Dissertation | PUB-ID: 2304149 OA
Steffen, J.F., 2010. Structured manifolds for motion production and segmentation : a structured Kernel Regression approach, Bielefeld (Germany): Bielefeld University.
PUB | PDF
 
[12]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034010 OA
Steffen, J.F., et al., 2010. Bio-Inspired Motion Strategies for a Bimanual Manipulation Task. In International Conference on Humanoid Robots (Humanoids).
PUB | PDF | DOI
 
[11]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2033999
Steffen, J.F., Oztop, E., & Ritter, H., 2010. Structured Unsupervised Kernel Regression for Closed-Loop Motion Control. Presented at the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan.
PUB | DOI
 
[10]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2033993 OA
Steffen, J.F., et al., 2010. Neural competition for motion segmentation. In 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). Bruges (Belgium): d-side, pp. 59-64.
PUB | PDF
 
[9]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996887
Steffen, J.F., et al., 2009. Towards Semi-supervised Manifold Learning: UKR with Structural Hints. In 7th International Workshop on Self-Organizing Maps (WSOM 2009). Berlin, Heidelberg: Springer.
PUB | DOI
 
[8]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996902 OA
Steffen, J.F., Pardowitz, M., & Ritter, H., 2009. Using Structured UKR Manifolds for Motion Classification and Segmentation. In Intelligent Robots and Systems (IROS). pp. 4785-4790.
PUB | PDF | DOI
 
[7]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996826
Pardowitz, M., Steffen, J.F., & Ritter, H., 2009. Self-emerging Action Gestalts for Task Segmentation. In 32nd German Conference on Artificial Intelligence (KI-2009). Berlin, Heidelberg: Springer, pp. 589-596.
PUB | DOI
 
[6]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996893
Steffen, J.F., et al., 2009. Realising Dextrous Manipulation with Structured Manifolds using Unsupervised Kernel Regression with Structural Hints. In ICRA 2009 Workshop: Approaches to Sensorimotor Learning on Humanoid Robots.
PUB
 
[5]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996898
Steffen, J.F., Pardowitz, M., & Ritter, H., 2009. A Manifold Representation as Common Basis for Action Production and Recognition. In 32nd German Conference on Artificial Intelligence (KI-2009). Berlin, Heidelberg: Springer, pp. 607-614.
PUB | DOI
 
[4]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996878
Steffen, J.F., Haschke, R., & Ritter, H., 2008. Using Manifolds for Dextrous Hand Control. In Workshop on Robot Manipulation: Intelligence in Human Environments.
PUB
 
[3]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996883
Steffen, J.F., Haschke, R., & Ritter, H., 2008. Towards Dextrous Manipulation Using Manifolds. In Intelligent Robots and Systems (IROS). IEEE, pp. 2738-2743.
PUB | DOI
 
[2]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2481621
Steffen, J.F., Haschke, R., & Ritter, H., 2007. SOM-based Experience Representation for Dextrous Grasping. In Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University.
PUB | DOI
 
[1]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2480227
Steffen, J.F., Haschke, R., & Ritter, H., 2007. Experience-based and Tactile-driven Dynamic Grasp Control. In Proc. Int’l. Conf. on Intelligent Robots and Systems (IROS), 2007.
PUB
 

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16 Publikationen

Alle markieren

[16]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2280540
Maycock, J., et al., 2011. Robust Tracking of Human Hand Postures for Robot Teaching. In International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ, pp. 2947-2952.
PUB | DOI
 
[15]
2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2141974
Steffen, J.F., et al., 2011. Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing, 74(9), p 1372-1381.
PUB | DOI | WoS
 
[14]
2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2280566
Steffen, J.F., Maycock, J., & Ritter, H., 2011. Robust dataglove mapping for recording human hand postures. In International Conference on Intelligent Robotics and Applications (ICIRA). Lecture Notes in Computer Science. no.7102 Springer, pp. 34-45.
PUB | DOI
 
[13]
2010 | Bielefelder E-Dissertation | PUB-ID: 2304149 OA
Steffen, J.F., 2010. Structured manifolds for motion production and segmentation : a structured Kernel Regression approach, Bielefeld (Germany): Bielefeld University.
PUB | PDF
 
[12]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034010 OA
Steffen, J.F., et al., 2010. Bio-Inspired Motion Strategies for a Bimanual Manipulation Task. In International Conference on Humanoid Robots (Humanoids).
PUB | PDF | DOI
 
[11]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2033999
Steffen, J.F., Oztop, E., & Ritter, H., 2010. Structured Unsupervised Kernel Regression for Closed-Loop Motion Control. Presented at the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Taipei, Taiwan.
PUB | DOI
 
[10]
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2033993 OA
Steffen, J.F., et al., 2010. Neural competition for motion segmentation. In 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). Bruges (Belgium): d-side, pp. 59-64.
PUB | PDF
 
[9]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996887
Steffen, J.F., et al., 2009. Towards Semi-supervised Manifold Learning: UKR with Structural Hints. In 7th International Workshop on Self-Organizing Maps (WSOM 2009). Berlin, Heidelberg: Springer.
PUB | DOI
 
[8]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996902 OA
Steffen, J.F., Pardowitz, M., & Ritter, H., 2009. Using Structured UKR Manifolds for Motion Classification and Segmentation. In Intelligent Robots and Systems (IROS). pp. 4785-4790.
PUB | PDF | DOI
 
[7]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996826
Pardowitz, M., Steffen, J.F., & Ritter, H., 2009. Self-emerging Action Gestalts for Task Segmentation. In 32nd German Conference on Artificial Intelligence (KI-2009). Berlin, Heidelberg: Springer, pp. 589-596.
PUB | DOI
 
[6]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996893
Steffen, J.F., et al., 2009. Realising Dextrous Manipulation with Structured Manifolds using Unsupervised Kernel Regression with Structural Hints. In ICRA 2009 Workshop: Approaches to Sensorimotor Learning on Humanoid Robots.
PUB
 
[5]
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996898
Steffen, J.F., Pardowitz, M., & Ritter, H., 2009. A Manifold Representation as Common Basis for Action Production and Recognition. In 32nd German Conference on Artificial Intelligence (KI-2009). Berlin, Heidelberg: Springer, pp. 607-614.
PUB | DOI
 
[4]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996878
Steffen, J.F., Haschke, R., & Ritter, H., 2008. Using Manifolds for Dextrous Hand Control. In Workshop on Robot Manipulation: Intelligence in Human Environments.
PUB
 
[3]
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996883
Steffen, J.F., Haschke, R., & Ritter, H., 2008. Towards Dextrous Manipulation Using Manifolds. In Intelligent Robots and Systems (IROS). IEEE, pp. 2738-2743.
PUB | DOI
 
[2]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2481621
Steffen, J.F., Haschke, R., & Ritter, H., 2007. SOM-based Experience Representation for Dextrous Grasping. In Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM 2007). Bielefeld: Bielefeld University.
PUB | DOI
 
[1]
2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2480227
Steffen, J.F., Haschke, R., & Ritter, H., 2007. Experience-based and Tactile-driven Dynamic Grasp Control. In Proc. Int’l. Conf. on Intelligent Robots and Systems (IROS), 2007.
PUB
 

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Zitationsstil: harvard1

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