Previous publications

2017

  • Markus Kühne, Johannes Potzy, R Garcia-Rochin, Patrick van der Smagt, Angelika Peer (2017).
    Design and Evaluation of a Haptic Interface With Octopod Kinematics.
    IEEE/ASME Transactions on Mechatronics.22 (5), 2091-2101. doi  
  • Benedikt Staffler, Manuel Berning, Kevin M Boergens, Anjali Gour, Patrick van der Smagt, Moritz Helmstaedter (2017).
    SynEM, automated synapse detection for connectomics.
    eLife2017;6:e26414 doi   www  
  • Sebastian Urban, Patrick van der Smagt (2017).
    Automatic Differentiation for Tensor Algebras.
    arXiv. www  
  • Sebastian Urban, Marcus Basalla, Patrick van der Smagt (2017).
    Gaussian Process Neurons Learn Stochastic Activation Functions.
    arXiv. www  
  • Baris Kayalibay, Grady Jensen, Patrick van der Smagt (2017).
    CNN-based Segmentation of Medical Imaging Data.
    arXiv. www  
  • Joern Vogel, N Takemura, Hannes Höppner, Patrick van der Smagt, Gowrishankar Ganesh (2017).
    Hitting the sweet spot: Automatic optimization of energy transfer during tool -held hits.
    IEEE International Conference on Robotics and Automation (ICRA) 1549-1556 . doi pdf
  • Rui Zhao, Ali Haider, Patrick van der Smagt (2017).
    Two-Stream RNN/CNN for Action Recognition in 3D Videos.
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017) pdf  
  • Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt (2017).
    Deep Variational Bayes Filters: Unsupervised Learning of State Space Mode ls from Raw Data.
    International Conference on Learning Representations (ICLR) pdf   www  

2016

  • Holger Urbanek, Patrick van der Smagt (2016).
    iEMG: Imaging Electromyography.
    Journal of Electromyography and Kinesiology27 1–9. pdf   doi  
  • Agneta Gustus, Patrick van der Smagt (2016).
    Evaluation of joint type modelling in the human hand.
    Journal of Biomechanics49 (13), 3097–3100. pdf   doi  
  • Christopher Wolf, Maximilian Karl, Patrick van der Smagt (2016).
    Variational Inference with Hamiltonian Monte Carlo.
    arXiv. www  
  • Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt (2016).
    Deep Variational Bayes Filters: Unsupervised Learning of State Space Mode ls from Raw Data.
    arxiv. www  
  • Nutan Chen, Maximilian Karl, Patrick van der Smagt (2016).
    Dynamic Movement Primitives in Latent Space of Time-Dependent Vari ational Autoencoders.
    Proc. 16th IEEE-RAS International Conference on Humanoid Robots pdf  
  • Herke van Hoof, Nutan Chen, Maximilian Karl, Patrick van der Smagt, Jan Peters (2016).
    Stable Reinforcement Learning with Autoencoders for Tactile and Visual Data .
    Proc. IEEE International Conference on Intelligent Robots and Systems (IROS) pdf  
  • Wiebke Koepp, Patrick van der Smagt, Sebastian Urban (2016).
    A Differentiable Transition Between Additive and Multiplicative Neurons.
    International Conference on Learning Representations (ICLR) www  
  • Maximilian Sölch, Justin Bayer, Marvin Ludersdorfer, Patrick van der Smagt (2016).
    Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series.
    International Conference on Learning Representations (ICLR) www  

2015

  • J. Vogel, S. Haddadin, B. Jarosiewicz, J. D. Simeral, D. Bacher, M. M. Hochberg, J. P. Donoghue, P. van der Smagt (2015).
    An assistive decision-and-control architecture for force-sensitive hand —arm systems driven by human—machine interfaces.
    The International Journal of Robotics Research (IJRR). pdf   doi  
  • Sebastian Urban, Marvin Ludersdorfer, Patrick van der Smagt (2015).
    Sensor Calibration and Hysteresis Compensation with Heteroscedastic Gaus sian Processes.
    IEEE Sensors15 (11), 6498–6506. pdf   doi  
  • Maximilian Karl, Justin Bayer, Patrick van der Smagt (2015).
    Efficient Empowerment.
    www  
  • Nutan Chen, Justin Bayer, Sebastian Urban, Patrick van der Smagt (2015).
    Efficient movement representation by embedding Dynamic Movement Prim itives in Deep Autoencoders.
    Proc. 2015 IEEE-RAS International Conference on Humanoid Robots pdf  
  • Justin Bayer, Maximilian Karl, Daniela Korhammer, Patrick van der Smagt (2015).
    Fast Adaptive Weight Noise.
    arXiv www  
  • Zoltán A. Milacskí, Marvin Ludersdorfer, Patrick van der Smagt, Andräs Lörincz (2015).
    Robust Detection of Anomalies via Sparse Methods.
    Proc. ICONIP pdf  
  • Nutan Chen, Sebastian Urban, Justin Bayer, Patrick van der Smagt (2015).
    Measuring Fingertip Forces from Camera Images for Random Finger Poses.
    Proc. IEEE International Conference on Robotics and System (IROS) pdf  
  • Hannes Höppner, Markus Grebenstein, Patrick van der Smagt (2015).
    Two-dimensional orthoglide mechanism for revealing areflexive human arm mech anical properties.
    Proc. IEEE International Conference on Intelligent Robots and Systems (IROS 2015) pdf  
  • Sebastian Urban, Patrick van der Smagt (2015).
    A Neural Transfer Function for a Smooth and Differentiable Transition Betw een Additive and Multiplicative Interactions.
    arXiv www  
  • P. Fischer, A. Dosovitskiy, E Ilg, P Haeusser, C Hazirbas, V. Golkov, P. van der Smagt, D. Cremers, T. Brox (2015).
    FlowNet: Learning Optical Flow with Convolutional Networks.
    Proc. ICCV pdf   www  

2014

  • Justin Bayer, Christian Osendorfer (2014).
    Learning Stochastic Recurrent Networks.
    Workshop on Advances in Variational Inference, Neural Information Processing Systems 2014 www  
  • Hornung R, Urbanek H, Klodmann J, Osendorfer C, Smagt P van der (2014).
    Model-free robot anomaly detection.
    Proc. IEEE/RSJ International Conference on Robotics and Systems (IROS) pdf   doi  
  • Justin Bayer, Christian Osendorfer, Daniela Korhammer, Nutan Chen, Sebastian Urban, Patrick van der Smagt (2014).
    On Fast Dropout and its Applicability to Recurrent Networks.
    Proceedings of the International Conference on Learning Representations pdf   www  
  • Christian Osendorfer, Hubert Soyer, Patrick van der Smagt (2014).
    Image Super-Resolution with Fast Approximate Convolutional Sparse Coding.
    Neural Information Processing 8836 pdf   doi  
  • Nutan Chen, Sebastian Urban, Christian Osendorfer, Justin Bayer, Patrick van der Smagt (2014).
    Estimating finger grip force from an image of the hand using Conv olutional Neural Networks and Gaussian Processes.
    Robotics and Automation (ICRA), 2014 IEEE International Conference on pdf   doi  
  • Hannes Höppner, Wolfgang Wiedmeyer, Patrick van der Smagt (2014).
    A new biarticular joint mechanism to extend stiffness ranges.
    Robotics and Automation (ICRA), 2014 IEEE International Conference on pdf   doi  
  • Georg Stillfried, Ulrich Hillenbrand, Marcus Settles, Patrick van der Smagt (2014).
    MRI-based skeletal hand movement model.
    In Ravi Balasubramanian and Veronica J. Santos (Eds.) The Human Hand as an Inspiration for Robot Hand Development 95 49-75. pdf   doi   www  
  • Jörn Vogel, Sami Haddadin, John D Simeral, Sergey D Stavisky, Daniel Bacher, Leigh R Hochberg, John P Donoghue, Patrick van der Smagt (2014).
    Continuous Control of the DLR Light-weight Robot III by a human with tetr aplegia using the BrainGate2 Neural Interface System.
    In Oussama Khatib and Vijay Kumar and Gaurav Sukhatme (Eds.) Experimental Robotics 79 125-136. pdf   doi  

2013

  • Hannes Höppner, Joseph McIntyre, Patrick van der Smagt (2013).
    Task Dependency of Grip Stiffness—A Study of Human Grip Force and Grip Stif fness Dependency during Two Different Tasks with Same Grip Forces.
    PLOS ONE8 (12), e80889. pdf   doi   www  
  • N. Fligge, H. Urbanek, P. van der Smagt (2013).
    Relation between object properties and EMG during reaching to grasp.
    Journal of Electromyography and Kinesiology23 (2), 402-410. pdf   doi  
  • Rückstieß T, Osendorfer C, Smagt P van der (2013).
    Minimizing Data Consumption with Sequential Online Feature Selection.
    International Journal of Machine Learning and Cybernetics4 (3), 235-243. pdf   doi  
  • David J. Braun, Florian Petit, Felix Huber, Sami Haddadin, Patrick van der Smagt, Alin Albu-Schaffer, Sethu Vijayakumar (2013).
    Robots Driven by Compliant Actuators: Optimal Control under Actuation Constraints.
    IEEE Transactions on Robotics99 (5), 1–17. pdf   doi  
  • Claudio Castellini, Patrick van der Smagt (2013).
    Evidence of muscle synergies during human grasping.
    Biological Cybernetics107* (2), 233-245. pdf   doi  
  • Dominic Lakatos, Daniel Rüschen, Justin Bayer, Jörn Vogel, Patrick van der Smagt (2013).
    Identification of Human Limb Stiffness in 5 DoF and Estimation via EMG.
    In Desai, Jaydev P. and Dudek, Gregory and Khatib, Oussama and Kumar, Vijay (Eds.) Experimental Robotics 88 89-99. pdf   doi  
  • Joern Vogel, Justin Bayer, Patrick van der Smagt (2013).
    Continuous robot control using surface electromyography of atrophic muscles.
    Proc. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems 845–850. pdf   doi  
  • Sebastian Urban, Justin Bayer, Christian Osendorfer, Göran Wesling, Benoni B. Edin, Patrick van der Smagt (2013).
    Computing grip force and torque from fingernail images using Gaussian processes.
    Proc. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 4034–4039. pdf   doi  
  • Justin Bayer, Christian Osendorfer, Sebastian Urban, Patrick van der Smagt (2013).
    Training Neural Networks with Implicit Variance.
    Neural Information Processing8227 132-139. pdf   doi  
  • Christian Osendorfer, Justin Bayer, Sebastian Urban, Patrick van der Smagt (2013).
    Convolutional Neural Networks learn compact local image descriptors.
    Neural Information Processing 8228 624-630. pdf   doi   www  

2012

  • Leigh R. Hochberg, Daniel Bacher, Beata Jarosiewicz, Nicolas Y. Masse, John D. Simeral, Joern Vogel, Sami Haddadin, Jie Liu, Sydney S. Cash, Patrick van der Smagt, John P. Donoghue (2012).
    Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.
    Nature485 372-377. pdf   doi  
  • Agneta Gustus, Georg Stillfried, Judith Visser, Henrik Jorntell, Patrick van der Smagt (2012).
    Human hand modelling: kinematics, dynamics, applications.
    Biological Cybernetics106 (11-12), 741-755. pdf   doi  
  • D. J. Braun, F. Petit, S. Haddadin, P. van der Smagt, A. Albu-Schäffer, S. Vijayakumar (2012).
    Optimal Torque and Stiffness Control in Compliantly Actuated Robots.
    Proc. 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems 2801–2808. pdf   doi  
  • Atzori M, Gijsberts A, Heynen S, Mittaz-Hager A, Deriaz O, Smagt P van der, Castellini C, Caputo B, Müller H (2012).
    Building the NINAPRO Database: A Resource for the Biorobotics Community.
    IEEE International Conference on Biomedical Robotics and Biomechatronics 1258–1265. pdf   doi  
  • Francesca Cordella, Francesco Di Corato, Loredana Zollo, Bruno Siciliano, Patrick van der Smagt (2012).
    Patient performace evaluation using kinect and Monte Carlo-based finger tracking.
    IEEE International Conference on Biomedical Robotics and Biomechatronics 1967–1972. pdf   doi  
  • Dominikus Gierlach, Agneta Gustus, Patrick van der Smagt (2012).
    Generating marker stars for 6D optical tracking.
    IEEE International Conference on Biomedical Robotics and Biomechatronics 147–152. pdf   doi  
  • Nadine Fligge, Joe McIntyre, Patrick van der Smagt (2012).
    Minimum jerk for human catching movements in 3D.
    Proc. IEEE International Conference on Biomedical Robotics and Biomechatronics 581–586. pdf   doi  
  • Bayer J, Osendorfer C, Smagt P van der (2012).
    Learning sequence neighbourhood metrics.
    In Villa, Alessandro and Duch, Włodzisław and \’Erdi, Péter and Masulli, Francesco and Palm, Günther (Eds.) Artificial Neural Networks and Machine Learning – ICANN 20127552 531-538. pdf   doi  

2011

  • Rückstiess T, Osendorfer C, Smagt P van der (2011).
    Sequential feature selection for classification.
    In Dianhui Wang and Mark Reynolds (Eds.) AI 2011: Advances in Artificial Intelligence 7106 pdf   doi  
  • Osendorfer C, Schlüter J, Schmidhuber J, Smagt P van der (2011).
    Unsupervised learning of low-level audio features for music similarity estimation.
    Workshop on Learning Architectures, Representations, and Optimization for Speech and Visual Information Processing, ICML 2011 pdf  
  • Smagt P van der (2011).
    Neue Entwicklungen in der Rehabilitation von Handfunktionsstörungen: Huma nrobotik.
    In Dennis A. Novak (Eds.)Handfunktionsstörungen in der Neurologie: Klinik und Rehabilitation 433-451. doi   www  
  • Vogel J, Castellini C, Smagt P van der (2011).
    EMG-Based Teleoperation and Manipulation with the DLR LWR-III.
    Proc. IROS—International Conference on Intelligent Robots and Systems 672-678. pdf   doi  
  • Lakatos D, Petit F, Smagt P van der (2011).
    Conditioning vs. Excitation Time for Estimating Impedance Parameters of the Human Arm.
    Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots 636-642. pdf   doi  
  • Höppner H, Lakatos D, Urbanek H, Castellini C, Smagt P van der (2011).
    The Grasp Perturbator: Calibrating human grasp stiffness during a graded force task.
    Proc. ICRA—International Conference on Robotics and Automation 3312-3316 . pdf   doi  
  • Castellini C, Smagt P van der (2011).
    Preliminary evidence of dynamic muscular synergies in human grasping.
    Proceedings of ICAR - International Conference on Advanced Robotics 28-33. pdf   doi  

2010

  • Liu J, Simeral JD, Stavisky SD, Bacher D, Vogel J, Haddadin S, Smagt P van der, Hochberg LR, Donoghue JP (2010).
    Control of a robotic arm using intracortical motor signal by an individual with tetraplegia in the BrainGate2 trial.
    40th Annual Meeting in Neuroscience (SFN2010)
  • Vogel J, Haddadin S, Simeral J D, Stavisky S D, Bacher D, Hochberg L R, Donoghue J P, Smagt P van der (2010).
    Continuous Control of the DLR Light-weight Robot III by a human with tetr aplegia using the BrainGate2 Neural Interface System.
    International Symposium on Experimental Robotics (ISER) www  
  • Strohmayr M, Saal H, Potdar A, Smagt P van der (2010).
    The DLR Touch Sensor I: A Flexible Tactile Sensor for Robotic Hands base d on a Crossed-Wire Approach.
    Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems 897-903. doi  
  • Höppner H, Lakatos D, Urbanek H, Smagt P van der (2010).
    The Arm-Perturbator: Design of a Wearable Perturbation Device to measure Limb Impedance.
    International Conference on Applied Bionics and Biomechanics (ICABB) pdf  
  • Stillfried G, Smagt P van der (2010).
    Movement model of a human hand based on magnetic resonance imaging (MRI).
    International Conference on Applied Bionics and Biomechanics (ICABB) pdf  

2009

  • Gruijl J de, Smagt P van der, Zeeuw C de (2009).
    Anticipatory grip force control using a cerebellar model.
    Neuroscience162 (3), 777-786. pdf   doi  
  • Smagt P van der, Grebenstein M, Urbanek H, Fligge N, Strohmayr M, Stillfried G, Parrish J, Gustus A (2009).
    Robotics of human movements.
    Journal of physiology, Paris103 (3-5), 119-132. pdf   doi  
  • Castellini C, Smagt P van der (2009).
    Surface EMG in Advanced Hand Prosthetics.
    Biological Cybernetics100(1), 35–47. pdf   doi  

2008

  • Grebenstein M, Smagt P van der (2008).
    Antagonism for a highly anthropomorphic hand-arm system.
    Advanced Robotics22 (1), 39-55. pdf   doi  
  • Smagt P van der, Stillfried G (2008).
    Using MRT data to compute a hand kinematic model.
    Proc. 9th International Conference on Motion and Vibration Control (MOVIC) pdf  
  • Panzer H, Eiberger O, Grebenstein M, Wolf S, Schaefer P, Smagt P van der (2008).
    Human motion range data optimizes anthropomorphic robotic hand-arm syst em design.
    Proc. 9th International Conference on Motion and Vibration Control (MOVIC) pdf  
  • Castellini C, Smagt P van der, Sandini G, Hirzinger G (2008).
    Surface EMG for Force Control of Mechanical Hands.
    Proceedings - IEEE International Conference on Robotics and Automation 725–730. pdf   doi  
  • Arbib M, Metta G, Smagt P van der (2008).
    Neurorobotics: From Vision to Action.
    In B. Siciliano and O. Khatib (Eds.) Springer Handbook of Robotics 1453–1480. pdf  
  • Maier S, Smagt P van der (2008).
    Surface EMG suffices to classify the motion of each finger independently.
    Proceedings of MOVIC. 9th International Conference on Motion and Vibration Control pdf  

2006

  • Smagt P van der, Hirzinger G (2006).
    NEUROBOTICS: The fusion of neuroscience and robotics.
    Proceedings ISR-2006, Joint Conference on Robotics / ROBOTIK
  • Bitzer S, Smagt P van der (2006).
    Learning EMG control of a robotic hand: towards active prostheses.
    Proceedings 2006 IEEE International Conference on Robotics and Automation 2819-2823. pdf   doi  

2004

  • Urbanek H, Albu-Schäffer A, Smagt P van der (2004).
    Learning from demonstration: Repetitive movements for autonomous service robo tics.
    2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 3495-3500. pdf   doi  

2002

  • Smagt P van der, Bullock D (2002).
    Guest editorial for Special Issue on Scalable Applications of Neural Netw orks to Robotics.
    Applied Intelligence17 7–10. pdf   doi  
  • Peters J, Smagt P van der (2002).
    Searching a Scalable Approach to Cerebellar Based Control.
    Applied Intelligence17 (1), 11-33. pdf   doi  

2000

  • Smagt P van der (2000).
    Benchmarking Cerebellar Control.
    Robotics and Autonomous Systems32 237–251. pdf   doi  
  • Smagt P van der, Hirzinger G (2000).
    The cerebellum as computed torque model.
    Fourth International Conference on knowledge-Based Intelligent Engineering Systems & Applied Technologies IEEE: 760–763. pdf  

1998

  • Smagt P van der (1998).
    Cerebellar Control of Robot Arms.
    Connection Science10 301–320. [Abstract]   pdf   doi  
  • Smagt P van der, Hirzinger G (1998).
    Solving the Ill-Conditioning in Neural Network Learning.
    In J. Orr and K. Müller (Eds.) Neural Networks: Tricks of the Trade193–206. pdf  
  • Smagt P van der, Hirzinger G (1998).
    Why Feed-Forward Networks are in a Bad Shape.
    In L. Niklasson and M. Bodén and T. Ziemke (Eds.) Proceedings of the 8th International Conference on Artificial Neural Networks Springer: 159–164. [Abstract]   pdf  
  • Fischer M, Smagt P van der, Hirzinger G (1998).
    Learning Techniques in a Dataglove Based Telemanipulation System for the DLR Hand.
    Transactions of the IEEE International Conference on Robotics and Automation 1603–1608.

1997

  • Omidvar O, Smagt P van der (1997).
    Neural Systems for Robotics.
    Academic Press: Boston, Massachusetts
  • Smagt P van der, Groen F (1997).
    Visual Feedback in Motion.
    In O. Omidvar and P. van der Smagt (Eds.) Neural Systems for Robotics 37–73. pdf  
  • Smagt P van der, Bullock D (1997).
    Can Artificial Cerebellar Models Compete to Control Robots?.
    pdf  
  • Smagt P van der (1997).
    Teaching a robot to see how it moves.
    In Antony Browne (Eds.) Neural Network Perspectives on Cognition and Adaptive Robotics 195–219. pdf  

1996

  • Smagt P van der, Groen F, Schulten K (1996).
    Analysis and control of a rubbertuator arm.
    Biological Cybernetics75 (5), 433–440. [Abstract]   www  
  • Smagt P van der (1996).
    A robot arm is neurally controlled using monocular feedback.
    Self Learning Robots, IEE Colloquium on IEEE: 9/1–9/3. pdf   doi  

1995

  • Smagt P van der, Kröse B (1995).
    Using Many-Particle Decomposition to get a Parallel Self-Organising Map.
    In J. van Vliet (Eds.) Proceedings of the 1995 Conference on Computer Science in the Netherlands 241-249. [Abstract]  
  • Smagt P van der, Groen F, Kröse B (1995).
    A Monocular Robot Arm can be Neurally Positioned.
    In U. Rembold and R. Dillmann and L. O. Hertzberger and T. Kanade (Eds.) Proceedings of the 1995 International Conference on Intelligent Autonomous Systems IOS Press: 123–130. [Abstract]  
  • Smagt P van der, Groen F (1995).
    Approximation with neural networks: Between local and global appr oximation.
    Proceedings of the 1995 International Conference on Neural Networks II:1060-II:1064. [Abstract]  
  • Smagt P van der, Dev A, Groen F (1995).
    A visually guided robot and a neural network join to grasp slanted obje cts.
    In B. Kappen and S. Gielen (Eds.) Proceedings of the 3rd SNN Symposium on Neural NetworksFoundation for Neural Networks, Nijmegen: Nijmegen, Netherlands 144-150. [Abstract]  
  • Smagt P van der (1995).
    Visual Robot Arm Guidance using Neural Networks.
    Ph.D. thesis: Dept of Computer Systems, University of Amsterdam
  • Jansen A, Smagt P van der, Groen F (1995).
    Nested Networks for Robot Control.
    In A. F. Murray (Eds.)Applications of Neural Networks 221–239. [Abstract]   www  

1994

  • Smagt P van der (1994).
    Simderella: a robot simulator for neuro-controller design.
    Neurocomputing6 (2), 281–285. [Abstract]  
  • Smagt P van der (1994).
    Minimisation methods for training feed-forward networks.
    Neural Networks7 (1), 1–11. [Abstract]   pdf  
  • Hesselroth T, Sarkar K, Smagt P van der, Schulten K (1994).
    Neural network control of a pneumatic robot arm.
    IEEE Transactions on Systems, Man, and Cybernetics24 (1), 28–38. [Abstract]   pdf   doi  
  • Smagt P van der, Groen F, Groenewoud F van het (1994).
    The locally linear nested network for robot manipulation.
    Proceedings of the IEEE International Conference on Neural Networks 2787–2792. [Abstract]   pdf  
  • Smagt P van der, Groen F, Groenewoud F van het (1994).
    Robotic Hand-Eye Coordination using Multi-Resolution Linear Perceptron Repr esentation.
    In H. M. Groenboom and H. W. Klijn Hesselink and M. M. Lankhorst (Eds.) Proceedings of the 1994 Groningen Student Conference on Computer Science 85–92. [Abstract]  
  • Kröse B, Smagt P van der (1994).
    An Introduction to Neural Networks.
    University of Amsterdam: Amsterdam, The Netherlands

1993

  • Smagt P van der, Schulten K (1993).
    Control of pneumatic robot arm dynamics by a neural network.
    World congress on neural networks III/180-III/183. [Abstract]   www  
  • Smagt P van der, Groen F, Kröse B (1993).
    Robot hand-eye coordination using neural networks.
    [Abstract]  
  • Kröse B, Smagt P van der, Groen F (1993).
    A one-eyed self-learning robot manipulator.
    In G. Bekey and K. Goldberg (Eds.) Neural networks in robotics 19-28. [Abstract]  
  • Groen F, Kröse B, Smagt P van der, Bartholomeus MGP, Noest AJ (1993).
    Neural Networks for robot eye-hand coordination.
    In S. Gielen and B. Kappen (Eds.)Artificial neural networks 211-218.

1992

  • Smagt P van der, Kröse B, Groen F (1992).
    A self-learning controller for monocular grasping.
    Proceedings of the 1992 IEEE/RSJ International Conference on Intelligent Robots and Systems 177-182. [Abstract]  
  • Smagt P van der, Kröse B, Groen F (1992).
    A Cyclops Learns to Grasp.
    Proceedings of the Second Symposium on Neural Networks 88.
  • Smagt P van der, Jansen A, Groen F (1992).
    Interpolative robot control with the nested network approach.
    IEEE Int. Symposium on Intelligent Control475-480. [Abstract]  
  • Jansen A, Smagt P van der, Groen F (1992).
    High-precision robot control: The nested network.
    In I. Aleksander and J. Taylor (Eds.) Artificial Neural Networks 2 583-586. [Abstract]  

1991

  • Smagt P van der, Kröse B (1991).
    A Real-Time Learning Neural Robot Controller.
    In T. Kohonen and K. Mäkisara and O. Simula and J. Kangas (Eds.) Proceedings of the 1991 International Conference on Artificial Neural Networks 351–356. [Abstract]  
  • Groen F, Kröse B, Smagt P van der (1991).
    Parallel Distributed Processing in Autonomous Robot Systems.Proceedings of the 1991 Symposium on Neural Networks 24–25.

1990

  • Smagt P van der (1990).
    A Comparative Study of Neural Network Algorithms Applied to Optical Char acter Recognition.
    Proceedings of the Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems 1037–1044.