PUB - Publikationen an der Universität Bielefeld

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• [16]
  

  2024 | Preprint | Eingereicht | PUB-ID: 2994268

  Bergmann, L., et al., Submitted. Precision-Focused Reinforcement Learning Model for Robotic Object Pushing.

  PUB | DOI | Download (ext.)
   
• [15]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710097

  Rolf, M., et al., 2015. A Multi-Level Control Architecture for the Bionic Handling Assistant. Advanced Robotics, 29(13: SI), p 847-859.

  PUB | PDF | DOI | WoS
   
• [14]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2729562

  Neumann, K., & Steil, J.J., 2015. Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations. Robotics and Autonomous Systems, 70(C), p 1-15.

  PUB | PDF | DOI | WoS
   
• [13]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2685050

  Queißer, J., et al., 2014. An Active Compliant Control Mode for Interaction with a Pneumatic Soft Robot. In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). IEEE, pp. 573-579.

  PUB | PDF | DOI
   
• [12]
  

  2014 | Bielefelder E-Dissertation | PUB-ID: 2656403

  Neumann, K., 2014. Reliability of Extreme Learning Machines, Bielefeld: Bielefeld University Library.

  PUB | PDF
   
• [11]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2656292

  Lemme, A., et al., 2014. Neural Learning of Vector Fields for Encoding Stable Dynamical Systems. Neurocomputing, 141, p 3-14.

  PUB | PDF | DOI | WoS
   
• [10]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900710

  Unger, A., et al., 2014. Modeling the Ultrasonic Softening Effect for Robust Copper Wire Bonding. In 8th International Conference on Integrated Power Electronics Systems, Proceedings, February, 25-27, 2014 Nuremberg/Germany. ETG-Fachbericht. no.141 VDE-Verlag.

  PUB | PDF
   
• [9]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2581205

  Lemme, A., et al., 2013. Neurally imprinted stable vector fields. Presented at the European Symposium on Artificial Neural Networks, (best paper award).

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• [8]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2637630

  Neumann, K., Lemme, A., & Steil, J.J., 2013. Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. Presented at the Int. Conference Intelligent Robotics and Systems, Tokio.

  PUB | PDF
   
• [7]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2547891

  Neumann, K., Strub, C., & Steil, J.J., 2013. Intrinsic Plasticity via Natural Gradient Descent with Application to Drift Compensation. Neurocomputing, 112(Special Issue ESANN 2012), p 26-33.

  PUB | PDF | DOI | WoS
   
• [6]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2547909

  Neumann, K., Rolf, M., & Steil, J.J., 2013. Reliable Integration of Continuous Constraints into Extreme Learning Machines. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 21(Suppl 2), p 35-50.

  PUB | PDF | DOI | WoS
   
• [5]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2465823

  Neumann, K., & Steil, J.J., 2013. Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing, 102(Special Issue: Advances in Extreme Learning Machines (ELM 2011), p 23-30.

  PUB | PDF | DOI | WoS
   
• [4]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2508614

  Neumann, K., Emmerich, C., & Steil, J.J., 2012. Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications, 4(3), p 230-246.

  PUB | PDF | DOI
   
• [3]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465819

  Neumann, K., & Steil, J.J., 2012. Intrinsic Plasticity via Natural Gradient Decent. In M. Verleysen, ed. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012). Proceedings. Louvain-la-Neuve: Ciaco, pp. 555-560.

  PUB | PDF
   
• [2]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2141968

  Neumann, K., & Steil, J.J., 2011. Batch Intrinsic Plasticity for Extreme Learning Machines. In T. Honkela, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2011. Pt. 1. Lecture notes in computer science. no.6791 Springer, pp. 339-346.

  PUB | PDF | DOI
   
• [1]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142025

  Neumann, K., et al., 2010. Learning Inverse Kinematics for Pose-Constraint Bi-Manual Movements. In S. Doncieux, et al., eds. From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Proceedings. Lecture notes in computer science. no.6226 Springer.

  PUB | PDF | DOI