Boris Duran | University of Skövde (original) (raw)

Uploads

Papers by Boris Duran

Research paper thumbnail of Modeling vehicle behavior with neural dynamics

Modeling the interaction of vehicles during certain traffic situations is the starting point for ... more Modeling the interaction of vehicles during certain traffic situations is the starting point for creating autonomous driving. Data collected from field trials where test subjects drive through a si ...

Research paper thumbnail of Emergence of smooth pursuit using chaos

The task of tracking an object has been fully studied and many solutions presented before. Howeve... more The task of tracking an object has been fully studied and many solutions presented before. However, it is a perfect test bed for the study of a novel model using Coupled Chaos Systems. Once an object appears in front of a camera, we demonstrate that the visual input is enough for the self-organization of the torques applied to each of the axes controlling the motion of a simulated eye. No learning or specific coding of the task is needed beforehand, which results in a very fast adaptation to perturbations.

Research paper thumbnail of Neural dynamics of hierarchically organized sequences: A robotic implementation

2012 12th Ieee Ras International Conference on Humanoid Robots, 2012

Research paper thumbnail of A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences

Artificial Neural Networks and Machine Learning–ICANN 2012, 2012

Research paper thumbnail of A Dynamic Field architecture for the generation of hierarchically organized sequences

Research paper thumbnail of Modeling vehicle behavior with neural dynamics

Modeling the interaction of vehicles during certain traffic situations is the starting point for ... more Modeling the interaction of vehicles during certain traffic situations is the starting point for creating autonomous driving. Data collected from field trials where test subjects drive through a si ...

Research paper thumbnail of Emergence of smooth pursuit using chaos

The task of tracking an object has been fully studied and many solutions presented before. Howeve... more The task of tracking an object has been fully studied and many solutions presented before. However, it is a perfect test bed for the study of a novel model using Coupled Chaos Systems. Once an object appears in front of a camera, we demonstrate that the visual input is enough for the self-organization of the torques applied to each of the axes controlling the motion of a simulated eye. No learning or specific coding of the task is needed beforehand, which results in a very fast adaptation to perturbations.

Research paper thumbnail of Neural dynamics of hierarchically organized sequences: A robotic implementation

2012 12th Ieee Ras International Conference on Humanoid Robots, 2012

Research paper thumbnail of A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences

Artificial Neural Networks and Machine Learning–ICANN 2012, 2012

Research paper thumbnail of A Dynamic Field architecture for the generation of hierarchically organized sequences

Log In