Jochen J. Steil

Orcid: 0000-0002-6738-9933

Affiliations:
  • Brunswick University of Technology, Institute for Robotics and Process Control, Germany
  • Bielefeld University, Research Institute for Cognition and Robotics, Germany


According to our database1, Jochen J. Steil authored at least 178 papers between 1997 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Interest-Driven Exploration With Observational Learning for Developmental Robots.
IEEE Trans. Cogn. Dev. Syst., 2023

Task-Parameterized Imitation Learning with Time-Sensitive Constraints.
CoRR, 2023

Data-Driven Estimation of Forces Along the Backbone of Concentric Tube Continuum Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Efficient Online Interest-Driven Exploration for Developmental Robots.
IEEE Trans. Cogn. Dev. Syst., 2022

Enabling impedance-based physical human-multi-robot collaboration: Experiments with four torque-controlled manipulators.
Int. J. Robotics Res., 2022

Let's Work Together: A Meta-Analysis on Robot Design Features That Enable Successful Human-Robot Interaction at Work.
Hum. Factors, 2022

Hyperspectral Endoscopy Using Deep Learning for Laryngeal Cancer Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021
Real-Time Shape Estimation for Concentric Tube Continuum Robots with a Single Force/Torque Sensor.
Frontiers Robotics AI, 2021

Benchmarking Real-Time Capabilities of ROS 2 and OROCOS for Robotics Applications.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images.
Proceedings of the 20th International Conference on Advanced Robotics, 2021

Constraint optimization for Echo State Networks applied to satellite image forecasting.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Compliant Humanoids Moving Toward Rehabilitation Applications: Transparent Integration of Real-Time Control, Whole-Body Motion Generation, and Virtual Reality.
IEEE Robotics Autom. Mag., 2019

Goal-related feedback guides motor exploration and redundancy resolution in human motor skill acquisition.
PLoS Comput. Biol., 2019

Plug, Plan and Produce as Enabler for Easy Workcell Setup and Collaborative Robot Programming in Smart Factories.
Künstliche Intell., 2019

Multi-level control architecture for Bionic Handling Assistant robot augmented by learning from demonstration for apple-picking.
Adv. Robotics, 2019

Exploiting Environment Contacts of Serial Manipulators.
Proceedings of the International Conference on Robotics and Automation, 2019

Reactive Walking Based on Upper-Body Manipulability: An application to Intention Detection and Reaction.
Proceedings of the International Conference on Robotics and Automation, 2019

Dynamically-consistent Generalized Hierarchical Control.
Proceedings of the International Conference on Robotics and Automation, 2019

Online Associative Multi-Stage Goal Babbling Toward Versatile Learning of Sensorimotor Skills.
Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Full 6-DOF Admittance Control for the Industrial Robot Stäubli TX60.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Time Series Classification in Reservoir- and Model-Space.
Neural Process. Lett., 2018

Oncilla Robot: A Versatile Open-Source Quadruped Research Robot With Compliant Pantograph Legs.
Frontiers Robotics AI, 2018

Bootstrapping of Parameterized Skills Through Hybrid Optimization in Task and Policy Spaces.
Frontiers Robotics AI, 2018

Learning Inverse Statics Models Efficiently With Symmetry-Based Exploration.
Frontiers Neurorobotics, 2018

Oncilla robot: a versatile open-source quadruped research robot with compliant pantograph legs.
CoRR, 2018

An open-source architecture for simulation, execution and analysis of real-time robotics systems.
Proceedings of the 2018 IEEE International Conference on Simulation, 2018

Real-time Control of Whole-body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Forward and Inverse Kinematics Maps Efficiently.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Continuously Shaping Projections and Operational Space Tasks.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Modeling and Control of Multi-Arm and Multi-Leg Robots: Compensating for Object Dynamics During Grasping.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

From social interaction to ethical AI: a developmental roadmap.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

Skill Memories for Parameterized Dynamic Action Primitives on the Pneumatically Driven Humanoid Robot Child Affetto.
Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

Fusion of Human Demonstrations for Automatic Recovery during Industrial Assembly.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017
Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control.
Sensors, 2017

Analytical Inverse Kinematics Solver for Anthropomorphic 7-DOF Redundant Manipulators with Human-Like Configuration Constraints.
J. Intell. Robotic Syst., 2017

Modelling of parametrized processes via regression in the model space of neural networks.
Neurocomputing, 2017

A User Study on Personalized Stiffness Control and Task Specificity in Physical Human-Robot Interaction.
Frontiers Robotics AI, 2017

Learning Inverse Statics Models Efficiently.
CoRR, 2017

A user study on human-robot-interactive recovery for industrial assembly problems.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

A user study on personalized adaptive stiffness control modes for human-robot interaction.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Robust recognition of tactile gestures for intuitive robot programming and control.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Imitation learning for a continuum trunk robot.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.
IEEE Trans. Neural Networks Learn. Syst., 2016

Generalizing a learned inverse dynamic model of KUKA LWR IV+ for load variations using regression in the model space.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Trajectory optimization of COmpliant HuMANoid (COMAN) robot arm using path parameter based dynamic programming.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Incremental bootstrapping of parameterized motor skills.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Continuous task-priority rearrangement during motion execution with a mixture of torque controllers.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Modelling of parameterized processes via regression in the model space.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Time Series Classification in Reservoir- and Model-Space: A Comparison.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015
Learning robot motions with stable dynamical systems under diffeomorphic transformations.
Robotics Auton. Syst., 2015

Open-source benchmarking for learned reaching motion generation in robotics.
Paladyn J. Behav. Robotics, 2015

Efficient policy search in low-dimensional embedding spaces by generalizing motion primitives with a parameterized skill memory.
Auton. Robots, 2015

A multi-level control architecture for the bionic handling assistant.
Adv. Robotics, 2015

Design of a biologically inspired humanoid neck.
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

Multiple task optimization with a mixture of controllers for motion generation.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Modeling of movement control architectures based on motion primitives using domain-specific languages.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Learning movement primitives for force interaction tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

U-shaped motor development emerges from Goal Babbling with intrinsic motor noise.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

Effect of exploratory perturbation on the formation of kinematic synergies in Goal Babbling.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

Independent joint learning in practice: Local error estimates to improve inverse dynamics control.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

A flat neural network architecture to represent movement primitives with integrated sequencing.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Device mismatch in a neuromorphic system implements random features for regression.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014
Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk.
IEEE Trans. Neural Networks Learn. Syst., 2014

Explorative learning of inverse models: A theoretical perspective.
Neurocomputing, 2014

Neural learning of vector fields for encoding stable dynamical systems.
Neurocomputing, 2014

Model-free path planning for redundant robots using sparse data from kinesthetic teaching.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Efficient policy search with a parameterized skill memory.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

An active compliant control mode for interaction with a pneumatic soft robot.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Self-supervised bootstrapping of a movement primitive library from complex trajectories.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces.
Proceedings of the Gearing Up and Accelerating Cross-fertilization between Academic and Industrial Robotics Research in Europe:, 2014

2013
Solving the Distal Reward Problem with Rare Correlations.
Neural Comput., 2013

Intrinsic plasticity via natural gradient descent with application to drift compensation.
Neurocomputing, 2013

Optimizing extreme learning machines via ridge regression and batch intrinsic plasticity.
Neurocomputing, 2013

Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub.
Neurocomputing, 2013

Multi-directional continuous association with input-driven neural dynamics.
Neurocomputing, 2013

Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances.
Frontiers Neurorobotics, 2013

An assistance system for guiding workers in central sterilization supply departments.
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013

Supporting Workers and Quality Management in Sterilization Departments.
Proceedings of the Ambient Intelligence - Software and Applications, 2013

Neural learning of stable dynamical systems based on data-driven Lyapunov candidates.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Assisted Gravity Compensation to cope with the complexity of kinesthetic teaching on redundant robots.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Learning the rules of a game: Neural conditioning in human-robot interaction with delayed rewards.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

Neurally imprinted stable vector fields.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Online learning and generalization of parts-based image representations by non-negative sparse autoencoders.
Neural Networks, 2012

How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project.
Künstliche Intell., 2012

Regularization and stability in reservoir networks with output feedback.
Neurocomputing, 2012

Interactive imitation learning of object movement skills.
Auton. Robots, 2012

Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing.
Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012

Constant curvature continuum kinematics as fast approximate model for the Bionic Handling Assistant.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Learning whole upper body control with dynamic redundancy resolution in coupled associative radial basis function networks.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Teaching nullspace constraints in physical human-robot interaction using Reservoir Computing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Representation and generalization of bi-manual skills from kinesthetic teaching.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Learning visuo-motor coordination for pointing without depth calculation.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Balancing of neural contributions for multi-modal hidden state association.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

intrinsic plasticity via natural gradient descent.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Integrating feature maps and competitive layer architectures for motion segmentation.
Neurocomputing, 2011

Special corner on "cognitive robotics".
Cogn. Process., 2011

Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

State Prediction: A Constructive Method to Program Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Batch Intrinsic Plasticity for Extreme Learning Machines.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Neural learning and dynamical selection of redundant solutions for inverse kinematic control.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

Reservoir regularization stabilizes learning of Echo State Networks with output feedback.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010
Goal Babbling Permits Direct Learning of Inverse Kinematics.
IEEE Trans. Auton. Ment. Dev., 2010

Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention.
Cogn. Comput., 2010

Mit Kopf, Körper und Hand: Herausforderungen Humanoider Roboter (Head, Body and Hand: Challenges of Humanoid Robots).
Autom., 2010

Learning Inverse Kinematics for Pose-Constraint Bi-manual Movements.
Proceedings of the From Animals to Animats 11, 2010

Human-robot interaction for learning and adaptation of object movements.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Imitating object movement skills with robots - A task-level approach exploiting generalization and invariance.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Bootstrapping inverse kinematics with Goal Babbling.
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks.
Proceedings of the Artificial Neural Networks, 2010

Learning Flexible Full Body Kinematics for Humanoid Tool Use.
Proceedings of the 2010 International Conference on Emerging Security Technologies, 2010

Tacking Reduces Bow-diving of High-Speed Unmanned Sea Surface Vehicles.
Proceedings of the 2010 International Conference on Emerging Security Technologies, 2010

Neural competition for motion segmentation.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Efficient online learning of a non-negative sparse autoencoder.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Figure-ground Segmentation using Metrics Adaptation in Level Set Methods.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Mastering Growth while Bootstrapping Sensorimotor Coordination.
Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob 2010), 2010

2009
Trying to Grasp a Sketch of a Brain for Grasping.
Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009

Online figure-ground segmentation with adaptive metrics in generalized LVQ.
Neurocomputing, 2009

Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Automatic selection of task spaces for imitation learning.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Task-level imitation learning using variance-based movement optimization.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Reaching movement generation with a recurrent neural network based on learning inverse kinematics for the humanoid robot iCub.
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

Attractor-based computation with reservoirs for online learning of inverse kinematics.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Recent advances in efficient learning of recurrent networks.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Integrating Inhomogeneous Processing and Proto-object Formation in a Computational Model of Visual Attention.
Proceedings of the Human Centered Robot Systems, Cognition, Interaction, Technology, 2009

2008
Humans and Humanoids.
Künstliche Intell., 2008

Improving reservoirs using intrinsic plasticity.
Neurocomputing, 2008

Gestalt-based action segmentation for robot task learning.
Proceedings of the 8th IEEE-RAS International Conference on Humanoid Robots, 2008

Robust object segmentation by adaptive metrics in Generalized LVQ.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
A Dual Interaction Perspective for Robot Cognition: Grasping as a "Rosetta Stone".
Proceedings of the Perspectives of Neural-Symbolic Integration, 2007

Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning.
Neural Networks, 2007

Adaptive scene dependent filters for segmentation and online learning of visual objects.
Neurocomputing, 2007

Online Learning of Objects in a Biologically Motivated Visual Architecture.
Int. J. Neural Syst., 2007

Manual Intelligence as a Rosetta Stone for Robot Cognition.
Proceedings of the Robotics Research - The 13th International Symposium, 2007

Platform portable anthropomorphic grasping with the bielefeld 20-DOF shadow and 9-DOF TUM hand.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Intrinsic plasticity for reservoir learning algorithms.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Several ways to solve the MSO problem.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Learning lateral interactions for feature binding and sensory segmentation from prototypic basis interactions.
IEEE Trans. Neural Networks, 2006

New Issues in Neurocomputing.
Neurocomputing, 2006

Online stability of backpropagation-decorrelation recurrent learning.
Neurocomputing, 2006

Dynamic Path Planning for a 7-DOF Robot Arm.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

A Biologically Motivated System for Unconstrained Online Learning of Visual Objects.
Proceedings of the Artificial Neural Networks, 2006

Recent trends in online learning for cognitive robots.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Adaptive scene-dependent filters in online learning environments.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
The dynamic wave expansion neural network model for robot motion planning in time-varying environments.
Neural Networks, 2005

Trends in Neurocomputing at ESANN 2004.
Neurocomputing, 2005

Analyzing the weight dynamics of recurrent learning algorithms.
Neurocomputing, 2005

Input space bifurcation manifolds of recurrent neural networks.
Neurocomputing, 2005

An on-line neural network-based approach to dynamic path planning and coordination of two robot arms.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Stability of backpropagation-decorrelation efficient O(N) recurrent learning.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Task-oriented quality measures for dextrous grasping.
Proceedings of the CIRA 2005, 2005

2004
Situated robot learning for multi-modal instruction and imitation of grasping.
Robotics Auton. Syst., 2004

Neural Architectures for Robot Intelligence
CoRR, 2004

Neural dynamics for task-oriented grouping of communicating agents.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

Input Space Bifurcation Manifolds of RNNs.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
Static sliding-motion phenomena in dynamical systems.
IEEE Trans. Autom. Control., 2003

Real-time path planning in dynamic environments: a comparison of three neural network models.
Proceedings of the IEEE International Conference on Systems, 2003

A neural network model that calculates dynamic distance transform for path planning and exploration in a changing environment.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Learning Compatibility Functions for Feature Binding and Perceptual Grouping.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Architekturen situierter Kommunikatoren: Von Perzeption über Kognition zum Lernen.
Proceedings of the 33. Jahrestagung der Gesellschaft für Informatik, Innovative Informatikanwendungen, INFORMATIK 2003, Frankfurt am Main, Germany, September 29, 2003

On the weight dynamics of recurrent learning.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002
Local stability of recurrent networks with time-varying weights and inputs.
Neurocomputing, 2002

Multi-modal human-machine communication for instructing robot grasping tasks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002

Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling.
Proceedings of the Artificial Neural Networks, 2002

Perspectives on learning with recurrent neural networks.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001
A Competitive-Layer Model for Feature Binding and Sensory Segmentation.
Neural Comput., 2001

Guiding attention for grasping tasks by gestural instruction: the GRAVIS-robot architecture.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs.
Proceedings of the Artificial Neural Networks, 2001

2000
Robust Control in Closed Loops Realized by Fast Signal Transmission of Infinite Gain Neurons.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Local input-output stability of recurrent networks with time-varying weights.
Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

1999
Input output stability of recurrent neural networks.
PhD thesis, 1999

Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998
Input-Output Stability of Recurrent Neural Networks with Delays Using Circle Criteria.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

1997
A Layered Recurrent Neural Network for Feature Grouping.
Proceedings of the Artificial Neural Networks, 1997


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