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Florentin Wörgötter

Florentin Wörgötter

D-Index & Metrics

Computer Science

D-Index
52
Citations
13692
World Ranking
5013
National Ranking
223

Overview

Florentin Wörgötter is affiliated with the University of Göttingen in Germany. Their research primarily focuses on computer science, with significant contributions to several subfields including computer vision and pattern recognition, artificial intelligence, cognitive neuroscience, pediatrics, perinatology, child health, and control and systems engineering.

Their work spans multiple main topics such as human pose and action recognition, neural dynamics and brain function, multimodal machine learning applications, robot manipulation and learning, neural networks and applications, infant development and preterm care, and action observation and synchronization.

Recent papers include:

  • The future of General Movement Assessment: The role of computer vision and machine learning - A scoping review, 2021, Research in Developmental Disabilities
  • Novel AI driven approach to classify infant motor functions, 2021, Scientific Reports
  • Smart hardware integration with advanced robot programming technologies for efficient reconfiguration of robot workcells, 2020, Robotics and Computer-Integrated Manufacturing
  • Modeling the Shape of Synaptic Spines by Their Actin Dynamics, 2020, Frontiers in Synaptic Neuroscience
  • Infant movement classification through pressure distribution analysis, 2023, Communications Medicine

Frequent co-authors working alongside Florentin Wörgötter include:

  • Minija Tamošiūnaitė
  • Tomas Kulvičius
  • Dajie Zhang
  • Sven Bölte
  • Luise Poustka

The scientist has published regularly in venues such as:

  • arXiv (Cornell University)
  • Scientific Reports
  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Communications Medicine

Best Publications

  • Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds

    Jeremie Papon;Alexey Abramov;Markus Schoeler;Florentin Worgotter

  • Temporal Sequence Learning, Prediction, and Control: A Review of Different Models and Their Relation to Biological Mechanisms

    Florentin Wörgötter;Bernd Porr

  • A detailed model of the primary visual pathway in the cat: comparison of afferent excitatory and intracortical inhibitory connection schemes for orientation selectivity

    Florentin Wörgötter;Christof Koch

  • Self-organized adaptation of a simple neural circuit enables complex robot behaviour

    Silke Steingrube;Silke Steingrube;Marc Timme;Florentin Wörgötter;Poramate Manoonpong

  • Learning the semantics of object-action relations by observation

    Eren Erdal Aksoy;Alexey Abramov;Johannes Dörr;Kejun Ning

  • Self-Organized Criticality in Developing Neuronal Networks

    Christian Tetzlaff;Samora Okujeni;Ulrich Egert;Florentin Wörgötter

  • State-dependent receptive-field restructuring in the visual cortex

    Florentin Wörgötter;Katrin Suder;Yongqiang Zhao;Nicolas Kerscher

  • Object-action complexes: Grounded abstractions of sensory-motor processes

    Norbert Krüger;Christopher W. Geib;Justus H. Piater;Ronald P. A. Petrick

  • Object Partitioning Using Local Convexity

    Simon Christoph Stein;Markus Schoeler;Jeremie Papon;Florentin Wörgötter

  • Fast Biped Walking with a Sensor-driven Neuronal Controller and Real-time Online Learning

    Tao Geng;Bernd Porr;Florentin Wörgötter

  • Joining Movement Sequences: Modified Dynamic Movement Primitives for Robotics Applications Exemplified on Handwriting

    T. Kulvicius;KeJun Ning;M. Tamosiunaite;F. Worgötter

  • Neural control and adaptive neural forward models for insect-like, energy-efficient, and adaptable locomotion of walking machines.

    Poramate Manoonpong;Ulrich Parlitz;Florentin Wörgötter

  • Adaptive, Fast Walking in a Biped Robot under Neuronal Control and Learning

    Poramate Manoonpong;Tao Geng;Tomas Kulvicius;Bernd Porr

  • Synaptic scaling in combination with many generic plasticity mechanisms stabilizes circuit connectivity.

    Christian Tetzlaff;Christoph Kolodziejski;Marc Timme;Florentin Wörgötter

  • The future of General Movement Assessment: The role of computer vision and machine learning - A scoping review

    Nelson Silva;Dajie Zhang;Tomas Kulvicius;Alexander Gail

  • Combining Statistical Hough Transform and Particle Filter for robust lane detection and tracking

    Guoliang Liu;Florentin Worgotter;Irene Markelic

  • Learning to pour with a robot arm combining goal and shape learning for dynamic movement primitives

    Minija Tamosiunaite;Bojan Nemec;Aleš Ude;Florentin WöRgöTter

  • Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review

    Shinya Aoi;Poramate Manoonpong;Yuichi Ambe;Fumitoshi Matsuno

  • Isotropic sequence order learning

    Bernd Porr;Florentin Wörgötter

  • Large Scale Palm Tree Detection In High Resolution Satellite Images Using U-Net

    Maximilian Freudenberg;Nils Nölke;Alejandro Agostini;Kira Urban

  • BIRTH OF THE OBJECT: DETECTION OF OBJECTNESS AND EXTRACTION OF OBJECT SHAPE THROUGH OBJECT–ACTION COMPLEXES

    Dirk Kraft;Nicolas Pugeault;Nicolas Pugeault;Emre Baseski;Mila Popovic

  • Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics

    Bernd Porr;Ausra Saudargiene;Florentin Wörgötter

Frequent Co-Authors

Norbert Krüger
Norbert Krüger University of Southern Denmark
Klaus Funke
Klaus Funke Ruhr University Bochum
Ales Ude
Ales Ude Jožef Stefan Institute
Ulf T. Eysel
Ulf T. Eysel Ruhr University Bochum
Justus Piater
Justus Piater University of Innsbruck
Tamim Asfour
Tamim Asfour Karlsruhe Institute of Technology
Carme Torras
Carme Torras Spanish National Research Council
Marc Timme
Marc Timme TU Dresden
Ernst Niebur
Ernst Niebur Johns Hopkins University
Fumitoshi Matsuno
Fumitoshi Matsuno Kyoto University

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