H. Ritter

发表

M. Hasenjäger, H. Ritter, K. Obermayer, 1999 .

H. Ritter, 1989, International 1989 Joint Conference on Neural Networks.

Self-Organizing Maps on non-euclidean Spaces

H. Ritter, 1999 .

Platform portable anthropomorphic grasping with the bielefeld 20-DOF shadow and 9-DOF TUM hand

Helge J. Ritter, Jochen J. Steil, Robert Haschke, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Rotary object dexterous manipulation in hand: a feedback-based method

Helge J. Ritter, Qiang Li, Martin Meier, 2013, Int. J. Mechatronics Autom..

Realising Dextrous Manipulation with Structured Manifolds using Unsupervised Kernel Regression with Structural Hints

S. Vijayakumar, H. Ritter, Jan Steffen, 2009 .

A principle for the formation of the spatial structure of cortical feature maps.

H. Ritter, K. Obermayer, K. Schulten, 1990, Proceedings of the National Academy of Sciences of the United States of America.

Topology conserving mappings for learning motor tasks

Helge Ritter, Klaus Schulten, H. Ritter, 1987 .

Extending Kohonens Self-Organizing Mapping Algorithm to Learn Ballistic Movements

Helge Ritter, Klaus Schulten, H. Ritter, 1988 .

Large-Scale Simulation of a Self-organizing Neural Network: Formation of a Somatotopic Map

Klaus Schulten, Klaus Obermayer, Helge Ritter, 1989 .

On interactive visualization of high-dimensional data using the hyperbolic plane

Helge J. Ritter, Jörg A. Walter, H. Ritter, 2002, KDD.

Kohonen's self-organizing maps: exploring their computational capabilities

K. Schulten, H. Ritter, H. Ritter, 1988, IEEE 1988 International Conference on Neural Networks.

Processing and Integrating Multimodal Material — The Influence of Color-Coding

H. Ritter, Sonja Folker, L. Sichelschmidt, 2005 .

Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions

Heiko Wersing, Helge J. Ritter, Wolf-Jürgen Beyn, 2001, Neural Computation.

TOWARDS AN IMAGE UNDERSTANDINGARCHITECTURE FOR A SITUATED ARTIFICIALCOMMUNICATOR

H. Ritter, C. Bauckhage, S. Posch, 1999 .

Recognition of human head orientation based on artificial neural networks

Helge J. Ritter, Robert Rae, H. Ritter, 1998, IEEE Trans. Neural Networks.

A Framework for Evaluating Approaches to Fuzzy Quantification

H. Ritter, G. Sagerer, Ipke Wachsmuth Anschrift, 1999 .

A distributed system for integrated speech and image understanding

H. Ritter, G. Fink, F. Kummert, 2002, Proceedings Mexico-USA Collaboration in Intelligent Systems Technologies..

Using entropy for dimension reduction of tactile data

Helge J. Ritter, Michael Pardowitz, Matthias Schöpfer, 2009, 2009 International Conference on Advanced Robotics.

Convergence properties of Kohonen's topology conserving maps: fluctuations, stability, and dimension selection

H. Ritter, K. Schulten, 1988, Biological Cybernetics.

Disambiguating Complex Visual Information: Towards Communication of Personal Views of a Scene

H. Ritter, M. Pomplun, B. Velichkovsky, 1996, Perception.

A tactile sensor system for a three-fingered robot manipulator

Helge J. Ritter, Jörg A. Walter, Ján Jockusch, 1997, Proceedings of International Conference on Robotics and Automation.

Situated robot learning for multi-modal instruction and imitation of grasping

Helge J. Ritter, Jochen J. Steil, Robert Haschke, 2004, Robotics Auton. Syst..

An Integrated System for Advanced Human-Computer Interaction

H. Ritter, N. Jungclaus, Robert Rae, 1999 .

The PSOM Algorithm and Applications

Jörg A. Walter, H. Ritter, C. Nölker, 2000 .

Hyperbolic Self-Organizing Maps for Semantic Navigation

Helge J. Ritter, Jörg Ontrup, H. Ritter, 2001, NIPS.

Experience-based and tactile-driven dynamic grasp control

Helge J. Ritter, Jan Steffen, Robert Haschke, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Prerational Intelligence: Adaptive Behavior and intelligent systems without symbols and logic. Vol. 1

Helge Ritter, Holk Cruse, Jeffrey Dean, 2000 .

Dynamic Path Planning for a 7-DOF Robot Arm

Helge J. Ritter, Jochen J. Steil, Stefan Klanke, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Three-dimensional neural net for learning visuomotor coordination of a robot arm

Helge J. Ritter, Thomas Martinetz, Klaus Schulten, 1990, IEEE Trans. Neural Networks.

Interactive Hyperbolic Image Browsing – Towards an Integrated Multimedia Navigator

Jörg A. Walter, H. Ritter, Daniel Wessling, 2006 .

Principal surfaces from unsupervised kernel regression

Helge J. Ritter, Stefan Klanke, Roland Memisevic, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Neural computation and self-organizing maps - an introduction

Helge J. Ritter, Thomas Martinetz, Klaus Schulten, 1992, Computation and neural systems series.

Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems

Bernhard Sendhoff, Olaf Sporns, Kenji Doya, 2009, Creating Brain-Like Intelligence.

The cognitive nature of action - functional links between cognitive psychology, movement science, and robotics.

H. Ritter, T. Schack, 2009, Progress in brain research.

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments pdf

Sergey M. Plis, Helge J. Ritter, Sergey Levine, 2018, ArXiv.

Guiding attention for grasping tasks by gestural instruction: the GRAVIS-robot architecture

Helge J. Ritter, Jochen J. Steil, Gunther Heidemann, 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

Investment Learning with Hierarchical Psom

H. Ritter, 1995 .

Combining Elementary Functions: Learning Approaches

H. Ritter, Thomas Wengerek, 2000 .

Multi-modal human-machine communication for instructing robot grasping tasks

Helge J. Ritter, Sven Wachsmuth, Jochen J. Steil, 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

Correcting pose estimates during tactile exploration of object shape: a neuro-robotic study

Helge J. Ritter, Florentin Wörgötter, Yulia Sandamirskaya, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Using haptics to extract object shape from rotational manipulations

Helge J. Ritter, Florentin Wörgötter, Yulia Sandamirskaya, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Self-organizing semantic maps

T. Kohonen, H. Ritter, T. Kohonen, 1989, Biological Cybernetics.

Clustering of Dependent Components: A New Paradigm for fMRI Signal Detection

Helge J. Ritter, Anke Meyer-Bäse, Oliver Lange, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

The Deformable Feature Map — Adaptive Plasticity for Function Approximation

H. Ritter, A. Wismüller, Frank Vietze, 1998 .

A Dual Interaction Perspective for Robot Cognition: Grasping as a "Rosetta Stone"

Helge J. Ritter, Jochen J. Steil, Robert Haschke, 2007, Perspectives of Neural-Symbolic Integration.

Manual Intelligence as a Rosetta Stone for Robot Cognition

Helge J. Ritter, Jochen J. Steil, Robert Haschke, 2007, ISRR.

Using a Piezo-Resistive Tactile Sensor for Detection of Incipient Slippage

Helge J. Ritter, Michael Pardowitz, Carsten Schürmann, 2010, ISR/ROBOTIK.

Parametrized SOMs for hand posture reconstruction

Helge J. Ritter, Claudia Nölker, H. Ritter, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Haptic search for complex 3D shapes subject to geometric transformations or partial occlusion

Helge J. Ritter, Robert Haschke, Kathrin Krieger, 2017, 2017 IEEE World Haptics Conference (WHC).

A Competitive-Layer Model for Feature Binding and Sensory Segmentation

Heiko Wersing, Helge J. Ritter, Jochen J. Steil, 2001, Neural Computation.

Perceptual Grouping in a Neural Model: Reproducing Human Texture Perception

H. Ritter, J. Ontrup, 1998 .

A highly sensitive 3D-shaped tactile sensor

Helge J. Ritter, Carsten Schürmann, Robert Haschke, 2013, 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

Discriminative Densities from Maximum Contrast Estimation

Helge J. Ritter, Peter Meinicke, Thorsten Twellmann, 2002, NIPS.

Gesture Desk - An Integrated Multi-modal Gestural Workplace for Sonification

Helge J. Ritter, Thomas Hermann, Thomas Henning, 2003, Gesture Workshop.

The dynamic wave expansion neural network model for robot motion planning in time-varying environments

Helge J. Ritter, Jochen J. Steil, Dmitry V. Lebedev, 2005, Neural Networks.

Trying to Grasp a Sketch of a Brain for Grasping

Helge J. Ritter, Jochen J. Steil, Robert Haschke, 2009, Creating Brain-Like Intelligence.

A Hybrid Approach to Signal Interpretation Using Neuronal and Semantic Networks

Helge J. Ritter, Franz Kummert, Gerhard Sagerer, 1993, DAGM-Symposium.

From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning — Insights from Biological Systems on Adaptive Flexibility

Helge Ritter, Malte Schilling, Frank W. Ohl, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Detection of Fingertips in Human Hand Movement Sequences

Helge J. Ritter, Claudia Nölker, H. Ritter, 1997, Gesture Workshop.

Reification through perceptual grouping

Helge J. Ritter, Martin Meier, Robert Haschke, 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).

Physical Bongard Problems

Helge J. Ritter, Erik Weitnauer, H. Ritter, 2012, AIAI.

Crystallization sonification of high-dimensional datasets

Helge J. Ritter, Thomas Hermann, H. Ritter, 2005, TAP.

Gaze-contingent audio-visual substitution for the blind and visually impaired

Helge J. Ritter, Hendrik Koesling, Andrea Finke, 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.

Tactile dataglove with fabric-based sensors

Helge J. Ritter, Carsten Schürmann, Robert Haschke, 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).

A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections

Helge J. Ritter, Tim W. Nattkemper, Walter Schubert, 2001, IEEE Transactions on Information Technology in Biomedicine.

Folding paper with anthropomorphic robot hands using real-time physics-based modeling

Helge J. Ritter, Robert Haschke, Christof Elbrechter, 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).

Visual recognition of continuous hand postures

Helge J. Ritter, Claudia Nölker, H. Ritter, 2002, IEEE Trans. Neural Networks.

A neural 3-D object recognition architecture using optimized Gabor filters

Helge J. Ritter, Gunther Heidemann, H. Ritter, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Exploiting inherent regularity in control of multilegged robot locomotion by evolving neural fields

Helge J. Ritter, Yaochu Jin, Benjamin Inden, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Approaching Manual Intelligence

Helge J. Ritter, Jonathan Maycock, Thomas Schack, 2010, KI - Künstliche Intelligenz.

Multidigit force control during unconstrained grasping in response to object perturbations.

Marco Santello, Alessandro Moscatelli, Robert Haschke, 2017, Journal of neurophysiology.

Frequency Band Variations Predict EEG Single-Trial Classification Performance in Disorder of Consciousness Patients

Helge J. Ritter, Andrea Finke, Johanna Kissler, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Toward FRP-Based Brain-Machine Interfaces—Single-Trial Classification of Fixation-Related Potentials

H. Ritter, D. Yao, K. Essig, 2016, PloS one.

Grasp Point Optimization for Unknown Object Manipulation in Hand Task

H. Ritter, R. Haschke, Qiang Li, 2012 .

Introduction to Volume 1

Holk Cruse, Jeffrey Dean, Helge Ritter, 2000 .

Representation and learning in motor action – Bridges between experimental research and cognitive robotics

H. Ritter, T. Schack, 2013 .

A Broad Class of Standard DFSes

H. Ritter, A. Knoll, I. Wachsmuth, 2001 .

An Axiomatic Theory of Fuzzy Quantifiers in Natural Languages

H. Ritter, A. Knoll, I. Wachsmuth, 2001 .

Automatic Recognition of Muscle-invasive T-lymphocytes Expressing Dipeptidyl-peptidase IV (CD26) and Analysis of the Associated Cell Surface Phenotypes

H. Ritter, W. Schubert, L. Philipsen, 2002 .

An Architecture for Distributed Visual Memory

H. Ritter, G. Sagerer, N. Jungclaus, 1998, Zeitschrift fur Naturforschung. C, Journal of biosciences.

Local PCA learning with resolution-dependent mixtures of Gaussians

H. Ritter, P. Meinicke, 1999 .

Mathematical Perspectives on Prerational Intelligence

H. Ritter, H. Bauer, 2000 .

Recognition of situation classes at road intersections

Helge J. Ritter, Franz Kummert, Christian Wöhler, 2010, 2010 IEEE International Conference on Robotics and Automation.

A Probabilistic Approach to Tactile Shape Reconstruction

Helge J. Ritter, Martin Meier, Robert Haschke, 2011, IEEE Transactions on Robotics.

Combining Semantic Modeling and Deep Reinforcement Learning for Autonomous Agents in Minecraft

H. Ritter, A. Melnik, Federico Rossetto, 2019 .

Recurrent learning of input-output stable behaviour in function space: A case study with the Roessler attractor

H. Ritter, J. Steil, 1999 .

Backtracking deterministic annealing for constraint satisfaction problems

H. Ritter, H. Wersing, 1999 .

ENGINEERING AND MUSIC 1 Sound and Meaning in Auditory Data Display

H. Ritter, T. Hermann, 2004 .

General Conclusions and Outlook for Future Work

H. Ritter, H. Cruse, J. Dean, 2000 .

Perceptual grouping by entrainment in coupled kuramoto oscillator networks

H. Ritter, R. Haschke, M. Meier, 2014, Network.

Robot Guidance by Human Pointing

H. Ritter, E. Littmann, A. Drees, 1996 .

REAL-TIME CONTROL OF SONIFICATIONMODELS WITH A HAPTIC INTERFACE

H. Ritter, T. Hermann, J. Krause, 2006 .

Influence of Movement Expertise on Visual Perception of Objects, Events and Motor Action- A Modeling Approach.

Helge Ritter, Thomas Schack, Kai Essig, 2012 .

Preliminary Result of Unknown Object Manipulation Based on Reactive Control

H. Ritter, R. Haschke, Qiang Li, 2011 .

JVideoGazer - Towards an Automatic Annotation of Gaze Videos from Natural Scenes

Thies Pfeiffer, Helge Ritter, Thomas Schack, 2011 .

Physicists Explore Human and Artificial Intelligence

J. Buhmann, H. Ritter, K. Schulten, 1986 .

Comparative Visual Search: A Di erence that Makes a Di erence

H. Ritter, M. Pomplun, G. Rickheit, 2001 .

Transfer Learning with Jukebox for Music Source Separation

Wadhah Zai El Amri, H. Ritter, A. Melnik, 2021, AIAI.

Active Data Selection for Fuzzy Topographic Mapping of Proximities

Martina Hasenjäger, Helge Ritter, Klaus Obermayer, 1999 .

A Computational Model for Learning Structured Concepts From Physical Scenes

Robert L. Goldstone, H. Ritter, E. Weitnauer, 2015, CogSci.

BIOSIGNAL 2004 Towards a ready-to-use Brain-Computer Interface

H. Ritter, M. Kaper, 2022 .

Standard Models of Fuzzy Quantification

Robert Giegerich, Alois Knoll, Helge Ritter, 2001 .

Forschungsberichte Der Technischen Fakult at Abteilung Informationstechnik Static and Dynamic Filtering Methods for Approximate String Matching Static and Dynamic Filtering Methods for Approximate String Matching

H. Ritter, A. Knoll, I. Wachsmuth, 1996 .

Prerational Intelligence: Interdisciplinary perspectives on the behavior of natural and artificial systems

Holk Cruse, Jeffrey Dean, Helge Ritter, 2000 .

Prerational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic, Volume 1, Volume 2 Prerational Intelligence: Interdisciplinary Perspectives on the Behavior of Natural and Artificial Systems, Volume 3

Holk Cruse, Jeffrey Dean, Helge Ritter, 2000 .

Cascade LLM Networks

Helge Ritter, Enno Littmann, H. Ritter, 1992 .

Automatic Evaluation of Aspects of Performance and Scheduling in Playing the Piano

H. Ritter, J. Friedman, Alexandra Moringen, 2022, UMAP.

Kohonens Self-Organizing Maps for Modeling the Formation of the Auditory Cortex of a Bat

Klaus Schulten, Helge Ritter, Thomas Martinetz, 1988 .

2 What is Innovative about Alignment ?

H. Ritter, J. Steil, S. Kopp, 2013 .

Unsupervised Learning (Dagstuhl Seminar 99121)

Joachim M. Buhmann, Wolfgang Maass, Naftali Tishby, 2021 .

Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing

H. Ritter, R. Haschke, Séverin Lemaignan, 2022, ArXiv.

Automatic Evaluation of Multi-Parameter Fluorescence Micrographs with a Neural Network Architecture

Heiko Wersing, Helge Ritter, Walter Schubert, 2000 .

Learning ″Semantotopic Maps″ from Context

Helge Ritter, Teuvo Kohonen, T. Kohonen, 1990 .

Learning with the Self-Organizing Map

Helge Ritter, H. Ritter, 1991 .

Neural Networks for Robotics

Helge Ritter, Andrea Meyering, Jörg A. Walter, 1992 .

Supplementary Material for "Sonification for EEG Data Analysis"

Helge Ritter, Thomas Hermann, Holger Bekel, 2002 .

Reinforcement Learning and Subtasks

Helge Ritter, Thomas Wengerek, H. Ritter, 1992 .

Eye-tracking decision behaviour in choice-based conjoint analysis

Martin Meißner, Helge Ritter, Thies Pfeiffer, 2008 .

Robot Learns to Use Tactile Tool Interacting with Unknown Object

Qiang Li, Helge Ritter, Robert Haschke, 2016 .

Supplementary Material for "Relevance-based Interactive Optimization of Sonification"

Helge Ritter, Thomas Hermann, Kerstin Bunte, 2007 .

OntheComputationsAnalyzingNaturalOpticFlow: QuantitativeModelAnalysisoftheBlowflyMotion VisionPathway

Helge Ritter, Roland Kern, Jens Peter Lindemann, 2005 .

Hands, Dexterity, and the Brain

Helge Ritter, Robert Haschke, H. Ritter, 2015 .

The impact of frequency distributions in a perceptual grouping oscillator network

Helge Ritter, Martin Meier, Robert Haschke, 2014 .

A Model for the Development of the Spatial Structure of Retinotopic Maps and Orientation Columns

Klaus Obermayer, Helge Ritter, Helge Ritter, 1992 .

One plus one= two? The effects of nonspatial object clustering on numerosity estimation

Hendrik Koesling, Helge Ritter, Marc Pomplun, 2004 .

The NI Robotics Laboratory

Helge Ritter, Jörg A. Walter, H. Ritter, 1996 .

Cell Detection in Micrographs of Tissue Sections Using Support Vector Machines

Helge Ritter, Walter Schubert, Thorsten Twellmann, 2001 .

Why it is hard to generate orientation and ocular dominance with linear correlation based learning models

Klaus Obermayer, Helge Ritter, Christian Piepenbrock, 1995, NIPS 1995.

Cross-modal human-machine interaction: Combining cortical activity and gaze control

Hendrik Koesling, Helge Ritter, Andrea Finke, 2011 .

EEG Coherence Visualization with Self-Organizing Maps

Helge Ritter, Axel Saalbach, Sabine Weiss, 2006 .

Realizing Dexterous Manipulation with Structured Manifolds using UKR with Structural Hints

Helge Ritter, Sethu Vijayakumar, Jan Steffen, 2009 .

In Workshop: Approaches to Sensorimotor Learning on Humanoid Robots, IEEE International Conference on Robotics and Automation (ICRA '09)

Helge Ritter, Sethu Vijayakumar, Jan Steffen, 2009 .

An instantaneous topological mapping model for correlated stimuli

Helge J. Ritter, Ján Jockusch, H. Ritter, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Prerational Intelligence from the Perspectives of Robotics and Engineering

Helge Ritter, H. Ritter, 2000 .

Neural Network Approaches for Perception and Action

Helge J. Ritter, H. Ritter, 1997, AFPAC.

Dynamical aspects of multi-time scale unsupervised neural networks

Anke Meyer-Bäse, Shantanu H. Joshi, Helge Ritter, 2006, SPIE Defense + Commercial Sensing.

Self-organizing maps and adaptive filters

Klaus Schulten, Helge Ritter, Klaus Obermayer, 1991 .

Large-scale simulations of self-organizing neural networks on parallel computers: application to biological modelling

Helge J. Ritter, Klaus Schulten, Klaus Obermayer, 1990, Parallel Comput..

Active learning in neural networks

M. Hasenjäger, H. Ritter, M. Hasenjäger, 2002 .

Active Learning with Local Models

Martina Hasenjäger, Helge J. Ritter, M. Hasenjäger, 1998, Neural Processing Letters.

Learning a tool's homogeneous transformation by tactile-based interaction

Helge J. Ritter, Qiang Li, Robert Haschke, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

Using Fixation-Related Potentials for Inspecting Natural Interactions

Helge Ritter, Thomas Schack, Dennis Wobrock, 2020, Frontiers in Human Neuroscience.

Towards Semi-supervised Manifold Learning: UKR with Structural Hints

Helge J. Ritter, Sethu Vijayakumar, Jan Steffen, 2009, WSOM.

Fully automatic optical motion tracking using an inverse kinematics approach

Jonathan Maycock, Mario Botsch, Helge Ritter, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Development of an intelligent object for grasp and manipulation research

Helge J. Ritter, Robert Haschke, Risto Kõiva, 2011, 2011 15th International Conference on Advanced Robotics (ICAR).

Structured unsupervised kernel regression for closed-loop motion control

Helge J. Ritter, Jan Steffen, Erhan Öztop, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Using Structured UKR manifolds for motion classification and segmentation

Helge J. Ritter, Jan Steffen, Michael Pardowitz, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Gestalt-based action segmentation for robot task learning

Helge J. Ritter, Jochen J. Steil, Michael Pardowitz, 2008, Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots.

Learning issues in a multi-modal robot-instruction scenario

Helge Ritter, Jochen J. Steil, Robert Haschke, 2003 .

Learning efficient haptic shape exploration with a rigid tactile sensor array

Helge J. Ritter, Roberta L. Klatzky, Alexandra Moringen, 2019, PloS one.

Scaffolding Haptic Attention with Controller Gating

Helge J. Ritter, Alexandra Moringen, Sascha Fleer, 2019, ICANN.

Helge J. Ritter, Robert L. Goldstone, Erik Weitnauer, 2013, CogSci.

Service Object Request Management Architecture: SORMA Concepts and Examples

Helge Ritter, Jörg A. Walter, H. Ritter, 1996 .

Models as Tools to Aid Thinking

Helge Ritter, H. Ritter, 2010 .

Variants of Unsupervised Kernel Regression: General cost functions

Helge J. Ritter, Stefan Klanke, H. Ritter, 2007, ESANN.

Combining Independent Component Analysis and Self-Organizing Maps for Cell Image Classification

Helge J. Ritter, Tim W. Nattkemper, Tanja Kämpfe, 2001, DAGM-Symposium.

Computational Models of Visual Tagging

Hendrik Koesling, Lorenz Sichelschmidt, Helge Ritter, 2006 .

Modelling serial scanning strategies in two-dimensional object distributions

Hendrik Koesling, Lorenz Sichelschmidt, Helge Ritter, 2003 .

Observation of Human Eye Movements to Simulate Visual Exploration of Complex Scenes

Helge Ritter, Robert Haschke, Benjamin Hell, 2007 .

A computational feature binding model of human texture perception

Heiko Wersing, Helge J. Ritter, Jörg Ontrup, 2004, Cognitive Processing.

A neural network architecture for automatic segmentation of fluorescence micrographs

Heiko Wersing, Helge J. Ritter, Tim W. Nattkemper, 2002, ESANN.

A distributed robotic control system based on a temporal self-organizing neural network

Helge J. Ritter, Aluizio F. R. Araújo, Guilherme De A. Barreto, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

Using Visual Attention to Recognize Human Pointing Gestures in Assembly Tasks

Helge Ritter, Markus Fislage, Robert Rae, 1999 .

Rapid learning with parametrized self-organizing maps

Helge J. Ritter, Jörg A. Walter, H. Ritter, 1996, Neurocomputing.

Associative Completion and Investment Learning Using PSOMs

Helge J. Ritter, Jörg A. Walter, H. Ritter, 1996, ICANN.

The Neuroinformatics Robot Laboratory

Helge Ritter, H. Ritter, 1996 .

Investment Learning with Hierarchical PSOMs

Helge J. Ritter, Jörg A. Walter, H. Ritter, 1995, NIPS.

Topology-conserving maps for learning visuo-motor-coordination

Klaus Schulten, Helge J. Ritter, Thomas Martinetz, 1989, Neural Networks.

A Review of Tactile Information: Perception and Action Through Touch

Oliver Kroemer, Filipe Veiga, Helge Ritter, 2020, IEEE Transactions on Robotics.

Self-Organizing Feature Maps for Modeling and Control of Robotic Manipulators

Helge J. Ritter, Aluizio F. R. Araújo, Guilherme De A. Barreto, 2003, J. Intell. Robotic Syst..

Active Boundary Component Models for robotic dressing assistance

Helge J. Ritter, Lukas Twardon, H. Ritter, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

INDEPENDENT COMPONENT ANALYSIS WITH QUANTIZING DENSITY ESTIMATORS

Peter Meinicke, Helge Ritter, H. Ritter, 2001 .

A Manifold Representation as Common Basis for Action Production and Recognition

Helge J. Ritter, Jan Steffen, Michael Pardowitz, 2009, KI.

Towards dextrous manipulation using manipulation manifolds

Helge J. Ritter, Jan Steffen, Robert Haschke, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Using Manifolds for Dextrous Hand Control

Jan Steffen, Helge Ritter, Robert Haschke, 2008 .

A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression

Helge J. Ritter, Stefan Klanke, H. Ritter, 2006, ICANN.

On the Computations Analyzing Natural Optic Flow: Quantitative Model Analysis of the Blowfly Motion Vision Pathway

M Egelhaaf, R Kern, J H van Hateren, 2005, The Journal of Neuroscience.

Fluorescence micrograph segmentation by gestalt-based feature binding

Heiko Wersing, Helge J. Ritter, Tim W. Nattkemper, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Application of a Novel Neural Approach to 3D Gaze Tracking: Vergence Eye-Movements in Autostereograms

Helge Ritter, Marc Pomplun, Kai Essig, 2004 .

Towards A Multidimensional Perspective on Shared Autonomy

Stefan Kopp, Wolfram Burgard, Bernhard Nebel, 2016, AAAI Fall Symposia.

Online Learning of Objects in a Biologically Motivated Visual Architecture

Heiko Wersing, Helge J. Ritter, Jochen J. Steil, 2007, Int. J. Neural Syst..

Progress in P300-based brain-computer interfacing

H. Ritter, M. Kaper, H. Ritter, 2004, IEEE International Workshop on Biomedical Circuits and Systems, 2004..

BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm

Helge J. Ritter, Peter Meinicke, Matthias Kaper, 2004, IEEE Transactions on Biomedical Engineering.

Generalizing to new subjects in brain-computer interfacing

H. Ritter, M. Kaper, H. Ritter, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Human vs. machine: evaluation of fluorescence micrographs

Helge J. Ritter, Tim W. Nattkemper, Walter Schubert, 2003, Comput. Biol. Medicine.

Listen to your Data: Model-Based Sonification for Data Analysis

Helge Ritter, Thomas Hermann, H. Ritter, 1999 .

Relevance determination in reinforcement learning

Helge J. Ritter, Barbara Hammer, Katharina Tluk von Toschanowitz, 2005, ESANN.

Mapping the Design Space of Reinforcement Learning Problems - a Case Study

Barbara Hammer, Helge Ritter, Katharina Tluk von Toschanowitz, 2004 .

Gaussian Mixture Model for 3-DoF orientations

Helge J. Ritter, Robert Haschke, Seungsu Kim, 2017, Robotics Auton. Syst..

Self-organizing maps for internal representations

H. Ritter, H Ritter, 1990, Psychological research.

Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning

Barbara Hammer, Malte Schilling, Helge Ritter, 2021, Neural Networks.

From Adaptive Locomotion to Predictive Action Selection – Cognitive Control for a Six-Legged Walker

H. Ritter, H. Cruse, Jan Paskarbeit, 2022, IEEE Transactions on Robotics.

2009 Special Issue: The MindGame: A P300-based brain-computer interface game

Helge J. Ritter, Andrea Finke, Alexander Lenhardt, 2009 .

Perceptual grouping through competition in coupled oscillator networks

Helge J. Ritter, Martin Meier, Robert Haschke, 2014, ESANN.

Helge J. Ritter, Robert L. Goldstone, Erik Weitnauer, 2014, CogSci.

Hierarchical Codebook Visually Evoked Potentials for fast and flexible BCIs

Helge J. Ritter, Andrea Finke, Hannes Riechmann, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep learning for action recognition in augmented reality assistance systems

Helge J. Ritter, Matthias Schröder, H. Ritter, 2017, SIGGRAPH Posters.

Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing

H. Ritter, R. Haschke, Séverin Lemaignan, 2022, arXiv.org.

Bio-Inspired Grasping Controller for Sensorized 2-DoF Grippers

H. Ritter, R. Haschke, F. Ferro, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A modular high-speed tactile sensor for human manipulation research

Helge J. Ritter, Carsten Schürmann, Robert Haschke, 2011, 2011 IEEE World Haptics Conference.

Image Based Recognition of Graze Direction Using Adaptive Methods

Helge J. Ritter, Robert Rae, Axel Christian Varchmin, 1997, Gesture Workshop.

Barometer-based Tactile Skin for Anthropomorphic Robot Hand

H. Ritter, R. Haschke, M. Meier, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

MoveIt! Task Constructor for Task-Level Motion Planning

Helge Ritter, Jianwei Zhang, Robert Haschke, 2019, 2019 International Conference on Robotics and Automation (ICRA).

On-line planning of time-optimal, jerk-limited trajectories

Helge J. Ritter, Robert Haschke, Erik Weitnauer, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Recognition of human head orientation based on artificial neural networks

Robert Rae, J. Ritter Helge, H. Ritter, 1998, IEEE Trans. Neural Networks.

Facial Feature Detection Using Neural Networks

Helge J. Ritter, Robert Rae, Axel Christian Varchmin, 1997, ICANN.

An Augmented-Reality Based Brain-Computer Interface for Robot Control

Helge J. Ritter, Alexander Lenhardt, H. Ritter, 2010, ICONIP.

An Adaptive P300-Based Online Brain–Computer Interface

A. Lenhardt, M. Kaper, H.J. Ritter, 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Learning by Experience

Helge Ritter, Gunther Heidemann, H. Ritter, 2003 .

Augmenting curved robot surfaces with soft tactile skin

Helge J. Ritter, Robert Haschke, Guillaume Walck, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Large-scale data exploration with the hierarchically growing hyperbolic SOM

Helge J. Ritter, Jörg Ontrup, H. Ritter, 2006, Neural Networks.

Adaptive behavior and intelligent systems without symbols and logic

Holk Cruse, Jeffrey Dean, Helge Ritter, 2000 .

Stroke-based Rendering: From Heuristics to Deep Learning

H. Ritter, Andrew Melnik, Florian Nolte, 2022, ArXiv.

Face Generation and Editing with StyleGAN: A Survey

H. Ritter, Andrew Melnik, Eren Akbulut, 2022, ArXiv.

Kernel Regression Mapping for Vocal Eeg Sonification

Helge Ritter, Gerold Baier, Thomas Hermann, 2008 .

Relevance-based Interactive Optimization of Sonification

Helge Ritter, Thomas Hermann, Kerstin Bunte, 2007 .

A Tangible Environment for Ambient Data Representation

Helge Ritter, Thomas Hermann, Till Bovermann, 2006 .

Sound and meaning in auditory data display

Helge J. Ritter, Thomas Hermann, H. Ritter, 2004, Proceedings of the IEEE.

Interactive Sonification for exploring Single Molecule Properties with AFM based Force Spectroscopy

Helge Ritter, Dario Anselmetti, Thomas Hermann, 2004 .

Sonification of markov chain monte carlo simulations

Helge Ritter, Thomas Hermann, Mark H. Hansen, 2001 .

Vocal sonification of pathologic EEG features

Helge Ritter, Gerold Baier, Thomas Hermann, 2006 .

Self-organizing maps: Local competition and evolutionary optimization

Helge J. Ritter, Stefan Jockusch, H. Ritter, 1994, Neural Networks.

Parametrized Self-Organizing Maps

Helge Ritter, H. Ritter, 1993 .

Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks

Timo Korthals, Robert Haschke, Helge Ritter, 2021, Frontiers in Robotics and AI.

Shape Features of the Search Target Modulate Hand Velocity, Posture and Pressure During Haptic Search in a 3D Display

Helge J. Ritter, Robert Haschke, Kathrin Krieger, 2016, EuroHaptics.

Search procedures during haptic search in an unstructured 3D display

Helge J. Ritter, Robert Haschke, Alexandra Moringen, 2016, 2016 IEEE Haptics Symposium (HAPTICS).

Optimizing piano practice with a utility-based scaffold pdf

Jason Friedman, Helge Ritter, Alexandra Moringen, 2021, ArXiv.

Towards multi-user brain-robot interfaces for humanoid robot control

Helge J. Ritter, Andrea Finke, Benjamin Rudgalwis, 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).

Visual search in the (un)real world: how head-mounted displays affect eye movements, head movements and target detection

Helge J. Ritter, Hendrik Koesling, Thomas Hermann, 2010, ETRA '10.

Robust tracking of human hand postures for robot teaching

Helge J. Ritter, Jonathan Maycock, Jan Steffen, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Distinguishing sliding from slipping during object pushing

Helge J. Ritter, Martin Meier, Robert Haschke, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

What Does a Hand-Over Tell?—Individuality of Short Motion Sequences

Holger H H Bekemeier, Jonathan W Maycock, Helge J J Ritter, 2019, Biomimetics.

Open source real-time control software for the Kuka light weight robot

Matthias Schopfer, Florian Schmidt, Michael Pardowitz, 2010, 2010 8th World Congress on Intelligent Control and Automation.

Representing Procedural Knowledge for Semantic Networks using Neural Nets

Gunther Heidemann, Helge Ritter, Gerhard Sagerer, 1995 .

Does machine-mediated interaction induce inter-brain synchrony? — A hyperscanning study

Helge J. Ritter, Andrea Finke, Nils Hachmeister, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Gestalt Formation in a Competitive Layered Neural Architecture

Helge Ritter, Jochen J. Steil, Jörg Ontrup, 2007 .

From Geometries to Contact Graphs

Helge J. Ritter, Robert Haschke, Martin Meier, 2020, ICANN.

Comparative visual search: a difference that makes a difference

Helge J. Ritter, Lorenz Sichelschmidt, Gert Rickheit, 2001, Cogn. Sci..

A Biologically Motivated System for Unconstrained Online Learning of Visual Objects

Heiko Wersing, Helge J. Ritter, Jochen J. Steil, 2006, ICANN.

Illumination independent recognition of deictic arm postures

C. Nolker, H. Ritter, H. Ritter, 1998, IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200).

Bi-manual robotic paper manipulation based on real-time marker tracking and physical modelling

Helge J. Ritter, Robert Haschke, Christof Elbrechter, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Identifying Relevant Tactile Features for Object Identification

Helge J. Ritter, Michael Pardowitz, Robert Haschke, 2012, Towards Service Robots for Everyday Environments.

Design and evaluation of reduced marker layouts for hand motion capture

Helge J. Ritter, Jonathan Maycock, Thomas Waltemate, 2018, Comput. Animat. Virtual Worlds.

Interactive image data labeling using self-organizing maps in an augmented reality scenario

Helge J. Ritter, Gunther Heidemann, Holger Bekel, 2005, Neural Networks.

Semi-automatic acquisition and labelling of image data using SOMs

Helge J. Ritter, Gunther Heidemann, Axel Saalbach, 2003, ESANN.

Shape complexity estimation using VAE

H. Ritter, Andrew Melnik, Markus Rothgaenger, 2023, ArXiv.

Interactive online learning

H. Ritter, I. Bax, G. Heidemann, 2007, Pattern Recognition and Image Analysis.

Bio-inspired motion strategies for a bimanual manipulation task

Helge J. Ritter, Jan Steffen, Robert Haschke, 2010, 2010 10th IEEE-RAS International Conference on Humanoid Robots.

A neural network for 3D gaze recording with binocular eye trackers

Helge J. Ritter, Marc Pomplun, Kai Essig, 2006, Int. J. Parallel Emergent Distributed Syst..

Local PSOMs and Chebyshev PSOMs -Improving the Parametrised Self-Organizing Maps

Helge Ritter, Jörg A. Walter, H. Ritter, 1995 .

Integrating context-free and context-dependent attentional mechanisms for gestural object reference

Helge J. Ritter, Gunther Heidemann, Holger Bekel, 2003, Machine Vision and Applications.

The Cyborg Astrobiologist: testing a novelty detection algorithm on two mobile exploration systems at Rivas Vaciamadrid in Spain and at the Mars Desert Research Station in Utah pdf

Helge J. Ritter, Patrick C. McGuire, Robert Haschke, 2009, International Journal of Astrobiology.

Beyond Cross-Validation - Accuracy Estimation for Incremental and Active Learning Models

Christian Limberg, Helge J. Ritter, Heiko Wersing, 2020, Mach. Learn. Knowl. Extr..

Accuracy Estimation for an Incrementally Learning Cooperative Inventory Assistant Robot

Christian Limberg, H. Ritter, H. Wersing, 2020, ICONIP.

Object-Level Impedance Control for Dexterous In-Hand Manipulation

Alin Albu-Schäffer, Maxime Chalon, Freek Stulp, 2020, IEEE Robotics and Automation Letters.

A hybrid system to detect hand orientation in stereo images

Franz Kummert, Helge Ritter, Gerhard Sagerer, 1994 .

Data Mart based Research in Heart Surgery: Challenges and Benefit

Helge J. Ritter, Alexander Albert, Bert Arnrich, 2004, MedInfo.

TANGIBLE DATA SCANNING SONIFICATION MODEL

Helge Ritter, Thomas Hermann, Till Bovermann, 2006 .

Detecting, Assessing and Monitoring Relevant Topics in Virtual Information Environments

Helge J. Ritter, Sören W. Scholz, Ralf Wagner, 2009, IEEE Transactions on Knowledge and Data Engineering.

Flexible and stretchable fabric-based tactile sensor

Helge J. Ritter, Carsten Schürmann, Robert Haschke, 2015, Robotics Auton. Syst..

INTERACTIVE VISUALIZATION AND SONIFICATION FOR MONITORING COMPLEX PROCESSES

Helge Ritter, Thomas Hermann, Christian Niehus, 2003 .

Comparing Action Sets: Mutual Information as a Measure of Control

Helge J. Ritter, Sascha Fleer, H. Ritter, 2017, ICANN.

Data Compression - A Generic Principle of Pattern Recognition?

Helge J. Ritter, Gunther Heidemann, H. Ritter, 2008, VISIGRAPP.

Using a cVEP-Based Brain-Computer Interface to Control a Virtual Agent

Helge Ritter, Andrea Finke, Hannes Riechmann, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Image Fusion Based on Topographic Mappings Using the Hyperbolic Space

Helge J. Ritter, Tim W. Nattkemper, Axel Saalbach, 2005, Inf. Vis..

Planning a Dynamic Trajectory via Path Finding in Discretized Phase Space

Helge J. Ritter, Klaus Schulten, H. Ritter, 1986, WOPPLOT.

Active Learning of the Generalized High-Low Game

Martina Hasenjäger, Helge J. Ritter, M. Hasenjäger, 1996, ICANN.

Artificial neural networks for automated quality control of textile seams

Helge J. Ritter, Claus Bahlmann, Gunther Heidemann, 1999, Pattern Recognit..

Real-time hand tracking using synergistic inverse kinematics

Helge J. Ritter, Jonathan Maycock, Mario Botsch, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Hierarchical feed-forward network for object detection tasks

Helge Ritter, Gunther Heidemann, Ingo Bax, 2006 .

An on-line neural network-based approach to dynamic path planning and coordination of two robot arms

Helge J. Ritter, Jochen J. Steil, Dmitry V. Lebedev, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Discriminating liquids using a robotic kitchen assistant

Helge J. Ritter, Jonathan Maycock, Robert Haschke, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Tactile Convolutional Networks for Online Slip and Rotation Detection

Helge J. Ritter, Martin Meier, Robert Haschke, 2016, ICANN.

A Spatial Approach to Feature Linking

Helge Ritter, H. Ritter, 1990 .

Placing by Touching: An Empirical Study on the Importance of Tactile Sensing for Precise Object Placing

H. Ritter, R. Haschke, Séverin Lemaignan, 2022, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs

Helge J. Ritter, Jochen J. Steil, Robert Haschke, 2001, ICANN.

Quantizing Density Estimators

Helge J. Ritter, Peter Meinicke, H. Ritter, 2001, NIPS.

Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3

Timo Korthals, Helge Ritter, Andrew Melnik, 2020, LOD.

Running head: CONCEPT LEARNING 1 Perception and Simulation During Concept Learning

Robert L. Goldstone, H. Ritter, E. Weitnauer, 2023 .

A visuo-tactile control framework for manipulation and exploration of unknown objects

Helge J. Ritter, Qiang Li, Robert Haschke, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Visuo-Tactile Servoing for Exploration and Manipulation

H. Ritter, R. Haschke, Qiang Li, 2015 .

Modularity in Nervous Systems—a Key to Efficient Adaptivity for Deep Reinforcement Learning

Laurenz Wiskott, H. Ritter, F. Ohl, 2023, Cognitive Computation.

Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space

H. Ritter, R. Kala, Andrew Melnik, 2022, ArXiv.

Critic Guided Segmentation of Rewarding Objects in First-Person Views

Helge Ritter, Andrew Melnik, Krishan Rana, 2021, KI.

Solving Physics Puzzles by Reasoning about Paths pdf

Animesh Garg, Helge Ritter, Andrew Melnik, 2020, ArXiv.

Modularization of End-to-End Learning: Case Study in Arcade Games pdf

Helge J. Ritter, Malte Schilling, Sascha Fleer, 2019, ArXiv.

An Error-Based Addressing Architecture for Dynamic Model Learning

Helge Ritter, Andrew Melnik, Nicolas Bach, 2020, LOD.

Towards body schema learning using training data acquired by continuous self-touch

Helge J. Ritter, Qiang Li, Robert Haschke, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Learning to Put On a Knit Cap in a Head-Centric Policy Space

Helge Ritter, Lukas Twardon, H. Ritter, 2018, IEEE Robotics and Automation Letters.

A Control Framework for Tactile Servoing

Helge J. Ritter, Qiang Li, Carsten Schürmann, 2013, Robotics: Science and Systems.

The visual active memory perspective on integrated recognition systems

Helge J. Ritter, Sven Wachsmuth, Christian Bauckhage, 2008, Image Vis. Comput..

Self-organization of feature detectors in time sequences (SOFT)-a neural network approach to multidimensional signal analysis

A. Wismuller, H. Jaeger, H. Ritter, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Face Generation and Editing With StyleGAN: A Survey

H. Ritter, Andrew Melnik, Eren Akbulut, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Development and Spatial Structure of Cortical Feature Maps: A Model Study

Helge J. Ritter, Klaus Schulten, Klaus Obermayer, 1990, NIPS.

Towards robust and domain agnostic reinforcement learning competitions

William H. Guss, H. Ritter, S. Mohanty, 2021, NeurIPS.

Real-Time Control of Sonification Models with an Audio-Haptic Interface

Helge Ritter, Thomas Hermann, Jan Krause, 2002 .

Hand-Object Interaction Detection with Fully Convolutional Networks

Helge J. Ritter, Matthias Schröder, H. Ritter, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Robotic dexterous manipulation: from tele-operation to autonomous learning and adaptive control

H. Ritter, Qiang Li, Fei Chen, 2022, Complex & Intelligent Systems.

Tactile Sensing and Deep Reinforcement Learning for In-Hand Manipulation Tasks

Timo Korthals, Robert Haschke, Helge Ritter, 2019 .

Robot guidance by human pointing gestures

Helge Ritter, Andrea Drees, Enno Littmann, 1996, Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing.

Neural recognition of human pointing gestures in real images

Helge J. Ritter, Andrea Drees, Enno Littmann, 1996, Neural Processing Letters.

Visual gesture-based robot guidance with a modular neural system

Helge J. Ritter, Andrea Drees, Enno Littmann, 1995, NIPS.

Neural and Statistical Methods for Adaptive Color Segmentation - a Comparison

Helge J. Ritter, Enno Littmann, H. Ritter, 1995, DAGM-Symposium.

Neural System recognizes Human Pointing Gestures in Real Images

Helge Ritter, Andrea Drees, Enno Littmann, 1996 .

Cascaded and Parallel Neural Network Architectures for Machine Vision - A Case Study

Helge J. Ritter, Enno Littmann, A. Meyering, 1992, DAGM-Symposium.

Perceptual grouping by entrainment in coupled kuramoto oscillator networks

H. Ritter, R. Haschke, M. Meier, 2014, Network.

Learning Gestalt Formations for Oscillator Networks

Martin Meier, Robert Haschke, Helge Ritter, 2015 .

An examination of different fitness and novelty based selection methods for the evolution of neural networks

Bernhard Sendhoff, Helge J. Ritter, Yaochu Jin, 2012, Soft Computing.

Genetic programming as an integration platform for visual routines

Helge J. Ritter, Patrick Ziemeck, H. Ritter, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Resolution-Based Complexity Control for Gaussian Mixture Models

Helge J. Ritter, Peter Meinicke, H. Ritter, 2001, Neural Computation.

A Hyperbolic Topographic Mapping for Proximity Data

Helge J. Ritter, Axel Wismüller, Tim W. Nattkemper, 2005, Artificial Intelligence and Applications.

With a Flick of the Eye: Assessing Gaze-Controlled Human-Computer Interaction

Helge J. Ritter, Hendrik Koesling, Lorenz Sichelschmidt, 2009, Human Centered Robot Systems, Cognition, Interaction, Technology.

Motor synergies and mental representations of grasping movements

Jonathan Maycock, Helge Ritter, Bettina Bläsing, 2013 .

Visual Gesture Recognition by a Modular Neural System

Helge J. Ritter, Andrea Drees, Enno Littmann, 1996, ICANN.

2005 Special Issue: Interactive image data labeling using self-organizing maps in an augmented reality scenario

H. Ritter, G. Heidemann, H. Bekel, 2005 .

Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces

Helge J. Ritter, Jörg Ontrup, H. Ritter, 2001, PKDD.

SOM based image data structuring in an augmented reality scenario

H. Ritter, G. Heidemann, H. Bekel, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Improving Transfer Rates in Brain Computer Interfacing: A Case Study

Helge J. Ritter, Peter Meinicke, Matthias Kaper, 2002, NIPS.

TANGIBLE COMPUTING FOR INTERACTIVE SONIFICATION OF MULTIVARIATE DATA

Helge Ritter, Thomas Hermann, Eckard Riedenklau, 2007 .

Learning Optimal Impedance Control During Complex 3D Arm Movements

Sylvain Calinon, Helge Ritter, Abdeldjallil Naceri, 2021, IEEE Robotics and Automation Letters.

Task-oriented quality measures for dextrous grasping

Helge J. Ritter, Jochen J. Steil, Robert Haschke, 2005, 2005 International Symposium on Computational Intelligence in Robotics and Automation.

Analysis of Hand Synergies for Inverse Kinematics Hand Tracking

Helge Ritter, Jonathan Maycock, Mario Botsch, 2013 .

Maximum Contrast Classifiers

Helge J. Ritter, Peter Meinicke, Thorsten Twellmann, 2002, ICANN.

Realtime 3D segmentation for human-robot interaction

Helge J. Ritter, Robert Haschke, André Ückermann, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A MALLEABLE DEVICE WITH APPLICATIONS TO SONIFICATION-BASED DATA EXPLORATION

Thomas Hermann, Helge Ritter, Till Bovermann, 2006 .

The MindGame: A P300-based brain-computer interface game

H. Ritter, A. Finke, Alexander Lenhardt, 2009, Neural Networks.

TANGIBLE ACTIVE OBJECTS AND INTERACTIVE SONIFICATION AS A SCATTER PLOT ALTERNATIVE FOR THE VISUALLY IMPAIRED

Helge Ritter, Thomas Hermann, Eckard Riedenklau, 2010, ICAD 2010.

The Local Heat Exploration Model for Interactive Sonification

Helge Ritter, Thomas Hermann, Till Bovermann, 2005 .

Neural gas sonification - growing adaptive interfaces for interacting with data

Helge J. Ritter, Thomas Hermann, H. Ritter, 2004, Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004..

Principal Curve Sonification

Helge Ritter, Thomas Hermann, Peter Meinicke, 2000 .

Active Learning for Image Recognition Using a Visualization-Based User Interface

Heiko Wersing, Helge J. Ritter, Kathrin Krieger, 2019, ICANN.

Online Learning of Objects and Faces in an Integrated Biologically Motivated Architecture

Heiko Wersing, Jochen J. Steil, Inna Mikhailova, 2007, ICVS 2007.

Robot self-protection by virtual actuator fatigue: Application to tendon-driven dexterous hands during grasping

Helge J. Ritter, Martin Meier, Robert Haschke, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A High-Speed Tactile Sensor for Slip Detection

Helge J. Ritter, Carsten Schürmann, Robert Haschke, 2012, Towards Service Robots for Everyday Environments.

Tactile Sensing for Manipulation

Helge J. Ritter, Qiang Li, Lorenzo Natale, 2018, Int. J. Humanoid Robotics.

Self-organizing feature maps: Kohonen maps

Helge Ritter, Helge Ritter, H. Ritter, 1998 .

Visual recognition of continuous hand postures

H. Ritter, Claudia Nölker, 2002, IEEE Trans. Neural Networks.

Evaluating a Physics Engine as an Ingredient for Physical Reasoning

Helge J. Ritter, Robert Haschke, Erik Weitnauer, 2010, SIMPAR.