Stephan K. U. Zibner

About

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Research Focus

Key Achievements

Top Papers

1. 1
   Using Dynamic Field Theory to extend the embodiment stance toward higher cognition

   73 citations · 2013
2. 2
   Dynamic Neural Fields as Building Blocks of a Cortex-Inspired Architecture for Robotic Scene Representation

   41 citations · 2011
3. 3
   Developing Dynamic Field Theory Architectures for Embodied Cognitive Systems with cedar

   21 citations · 2016
4. 4
   A Neural Dynamic Architecture for Reaching and Grasping Integrates Perception and Movement Generation and Enables On-Line Updating

   21 citations · 2017
5. 5
   A Software Framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: Cedar

   12 citations · 2013
6. 6
   Making a robotic scene representation accessible to feature and label queries

   7 citations · 2011
7. 7
   Dynamic Scene Representations and Autonomous Robotics

   6 citations · 2015
8. 8
   Scenes and tracking with dynamic neural fields: How to update a robotic scene representation

   6 citations · 2010
9. 9
   A neural process model of learning to sequentially organize and activate pre-reaches

   5 citations · 2016
10. 10
    Reaching and grasping novel objects: Using neural dynamics to integrate and organize scene and object perception with movement generation

    3 citations · 2014

Key Collaborators