PUB - Publikationen an der Universität Bielefeld

Alle markieren

• [16]
  

  2024 | Preprint | Eingereicht | PUB-ID: 2994268

  Bergmann, Lara, Leins, David, Haschke, Robert, and Neumann, Klaus. Submitted. “Precision-Focused Reinforcement Learning Model for Robotic Object Pushing”.

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

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2710097

  Rolf, Matthias, Neumann, Klaus, Queißer, Jeffrey, Reinhart, Felix, Nordmann, Arne, and Steil, Jochen J. 2015. “A Multi-Level Control Architecture for the Bionic Handling Assistant”. Advanced Robotics 29 (13: SI): 847-859.

  PUB | PDF | DOI | WoS
   
• [14]
  

  2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2729562

  Neumann, Klaus, and Steil, Jochen J. 2015. “Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations”. Robotics and Autonomous Systems 70 (C): 1-15.

  PUB | PDF | DOI | WoS
   
• [13]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2685050

  Queißer, Jeffrey, Neumann, Klaus, Rolf, Matthias, Reinhart, Felix, and Steil, Jochen J. 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), 573-579. IEEE.

  PUB | PDF | DOI
   
• [12]
  

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

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

  PUB | PDF
   
• [11]
  

  2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2656292

  Lemme, Andre, Reinhart, Felix, Neumann, Klaus, and Steil, Jochen J. 2014. “Neural Learning of Vector Fields for Encoding Stable Dynamical Systems”. Neurocomputing 141: 3-14.

  PUB | PDF | DOI | WoS
   
• [10]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900710

  Unger, Andreas, Sextro, Walter, Althoff, Simon, Meyer, Tobias, Neumann, Klaus, Reinhart, Felix, Brökelmann, Michael, Guth, Karsten, and Bolowski, Daniel. 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. Vol. 141. ETG-Fachbericht. VDE-Verlag.

  PUB | PDF
   
• [9]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2581205

  Lemme, Andre, Neumann, Klaus, Reinhart, Felix, and Steil, Jochen J. 2013. “Neurally imprinted stable vector fields”. Presented at the European Symposium on Artificial Neural Networks, (best paper award) , 327-332.

  PUB | PDF
   
• [8]
  

  2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2637630

  Neumann, Klaus, Lemme, Andre, and Steil, Jochen J. 2013. “Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates”. Presented at the Int. Conference Intelligent Robotics and Systems, Tokio , 1216-1222. IEEE.

  PUB | PDF
   
• [7]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2547891

  Neumann, Klaus, Strub, Claudius, and Steil, Jochen J. 2013. “Intrinsic Plasticity via Natural Gradient Descent with Application to Drift Compensation”. Neurocomputing 112 (Special Issue ESANN 2012): 26-33.

  PUB | PDF | DOI | WoS
   
• [6]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2547909

  Neumann, Klaus, Rolf, Matthias, and Steil, Jochen J. 2013. “Reliable Integration of Continuous Constraints into Extreme Learning Machines”. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21 (Suppl 2): 35-50.

  PUB | PDF | DOI | WoS
   
• [5]
  

  2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2465823

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

  PUB | PDF | DOI | WoS
   
• [4]
  

  2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2508614

  Neumann, Klaus, Emmerich, Christian, and Steil, Jochen J. 2012. “Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods”. Journal of Intelligent Learning Systems and Applications 4 (3): 230-246.

  PUB | PDF | DOI
   
• [3]
  

  2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465819

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

  PUB | PDF
   
• [2]
  

  2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2141968

  Neumann, Klaus, and Steil, Jochen J. 2011. “Batch Intrinsic Plasticity for Extreme Learning Machines”. In Artificial Neural Networks and Machine Learning – ICANN 2011. Pt. 1, ed. Timo Honkela, Włodzisław Duch, Mark Girolami, and Samuel Kaski, 6791:339-346. Lecture notes in computer science. Springer.

  PUB | PDF | DOI
   
• [1]
  

  2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142025

  Neumann, Klaus, Rolf, Matthias, Steil, Jochen J., and Gienger, Michael. 2010. “Learning Inverse Kinematics for Pose-Constraint Bi-Manual Movements”. In From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Proceedings, ed. Stéphane Doncieux, Benoît Girard, Agnès Guillot, John Hallam, Jean-Arcady Meyer, and Jean-Baptiste Mouret. Vol. 6226. Lecture notes in computer science. Springer.

  PUB | PDF | DOI