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  • Jacques Kaiser, Juan Camilo Vasquez Tieck, +9 authors Johann Marius Zöllner
  • Computer Science
  • IEEE International Conference on Simulation…
  • 2016 (First Publication: 1 December 2016)
  • Spiking neural networks are in theory more computationally powerful than rate-based neural networks often used in deep learning architectures. However, unlike rate-based neural networks, it is yetContinue Reading
  • Egidio Falotico, Lorenzo Vannucci, +29 authors Marc-Oliver Gewaltig
  • Computer Science, Medicine
  • Front. Neurorobot.
  • 2017 (First Publication: 25 January 2017)
  • Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation ofContinue Reading
  • Arne Rönnau, Georg Heppner, Michał Nowicki, Johann Marius Zöllner, Rüdiger Dillmann
  • Computer Science
  • IEEE/RSJ International Conference on Intelligent…
  • 2014 (First Publication: 6 November 2014)
  • Multi-legged walking robots often make use of sophisticated control architectures to play their strengths in rough and unknown environments. The adaptability of these robots is an essential skill toContinue Reading
  • Andreas Hermann, Felix Mauch, Klaus Fischnaller, Sebastian Klemm, Arne Rönnau, Rüdiger Dillmann
  • Computer Science
  • European Conference on Mobile Robots (ECMR)
  • 2015 (First Publication: 12 November 2015)
  • Proactive collision detection enables robots to efficiently execute tasks in shared human-robot-workspaces by avoiding collision-prone situations. Our work connects motion prediction of RGB-D flowContinue Reading
  • Andreas Hermann, J. Sun, +5 authors Rüdiger Dillmann
  • Computer Science
  • IEEE/ASME International Conference on Advanced…
  • 2013 (First Publication: 1 July 2013)
  • We present our recent work on the soft- and hardware design of the bimanual mobile manipulation platform HoLLiE that is equipped with an actuated upper body. The goal was to develop a robust butContinue Reading