publications

1991T-Like Type Ia Supernovae as an Extension of the Normal Population

JT O'Brien, WE Kerzendorf, A Fullard, R Pakmor, J Buchner, C Vogl, ...

arXiv preprint arXiv:2306.08137

2023

AI Regulation Is (not) All You Need

L Lucaj, P van der Smagt, D Benbouzid

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …

2023

Filter-Aware Model-Predictive Control

B Kayalibay, A Mirchev, A Agha, P van der Smagt, J Bayer

Learning for Dynamics and Control Conference, 1441-1454

2023

CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces

E Aljalbout, M Karl, P van der Smagt

Learning for Dynamics and Control Conference, 1152-1166

2023

PRISM: Probabilistic Real-Time Inference in Spatial World Models

A Mirchev, B Kayalibay, A Agha, P van der Smagt, D Cremers, J Bayer

Conference on Robot Learning, 161-174

2023

Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models

X Zhang, P Becker-Ehmck, P van der Smagt, M Karl

Workshop on Reincarnating Reinforcement Learning at ICLR 2023

2023

Local Distance Preserving Auto-encoders using Continuous kNN Graphs

N Chen, P van der Smagt, B Cseke

Topological, Algebraic and Geometric Learning Workshops 2022, 55-66

2022

Probabilistic Dalek--Emulator framework with probabilistic prediction for supernova tomography

W Kerzendorf, N Chen, J O'Brien, J Buchner, P van der Smagt

arXiv preprint arXiv:2209.09453

2022

SnakeStrike: A Low-Cost Open-Source High-Speed Multi-Camera Motion Capture

GW Jensen, P van der Smagt, E Heiss, H Straka, T Kohl

Modern Methods in Neuroethology

2022

Local Distance Preserving Auto-encoders using Continuous k-Nearest Neighbours Graphs

N Chen, P van der Smagt, B Cseke

arXiv preprint arXiv:2206.05909

2022

Tracking and planning with spatial world models

B Kayalibay, A Mirchev, P van der Smagt, J Bayer

Learning for Dynamics and Control Conference, 124-137

2022

New mass estimates for massive binary systems: a probabilistic approach using polarimetric radiative transfer

AG Fullard, JT O’Brien, WE Kerzendorf, M Shrestha, JL Hoffman, R Ignace, ...

The Astrophysical Journal 930 (1), 89

2022

Flat latent manifolds for music improvisation between human and machine

N Chen, D Benbouzid, F Ferroni, M Nitschke, L Pinna, P van der Smagt

arXiv preprint arXiv:2202.12243

2022

Chronic Multi-Electrode Electromyography in Snakes

GW Jensen, P van der Smagt, H Luksch, H Straka, T Kohl

Frontiers in Behavioral Neuroscience 15, 339

2022

Constrained probabilistic movement primitives for robot trajectory adaptation

F Frank, A Paraschos, P van der Smagt, B Cseke

IEEE Transactions on Robotics 38 (4), 2276-2294

2021

Latent matters: Learning deep state-space models

A Klushyn, R Kurle, M Soelch, B Cseke, P van der Smagt

Advances in Neural Information Processing Systems 34, 10234-10245

2021

An adaptive mechatronic exoskeleton for force-controlled finger rehabilitation

T Dickmann, NJ Wilhelm, C Glowalla, S Haddadin, P van der Smagt, ...

Frontiers in Robotics and AI 8, 716451

2021

Probabilistic reconstruction of type Ia supernova SN 2002bo

JT O’Brien, WE Kerzendorf, A Fullard, M Williamson, R Pakmor, J Buchner, ...

The Astrophysical Journal Letters 916 (2), L14

2021

Layerwise learning for quantum neural networks

A Skolik, JR McClean, M Mohseni, P van der Smagt, M Leib

Quantum Machine Intelligence 3, 1-11

2021

Rapid Probabilistic Estimation of Type Ia Supernovae Explosion Parameters I: Single Epoch Spectrum of SN 2002bo

JT O’Brien, WE Kerzendorf, A Fullard, M Williamson, R Pakmor, J Buchner, ...

arXiv e-prints, arXiv: 2105.07910

2021

Dalek: A Deep Learning Emulator for TARDIS

WE Kerzendorf, C Vogl, J Buchner, G Contardo, M Williamson, ...

The Astrophysical Journal Letters 910 (2), L23

2021

Mind the gap when conditioning amortised inference in sequential latent-variable models

J Bayer, M Soelch, A Mirchev, B Kayalibay, P van der Smagt

arXiv preprint arXiv:2101.07046

2021

Exploration via empowerment gain: Combining novelty, surprise and learning progress

P Becker-Ehmck, M Karl, J Peters, P van der Smagt

ICML 2021 Workshop on Unsupervised Reinforcement Learning

2021

Snakestrike: A low-cost open-source high-speed multi-camera motion capture system

GW Jensen, P Van der Smagt, E Heiss, H Straka, T Kohl

Frontiers in Behavioral Neuroscience 14, 116

2020

Estimating fingertip forces, torques, and local curvatures from fingernail images

N Chen, G Westling, BB Edin, P van der Smagt

Robotica 38 (7), 1242-1262

2020

Variational state-space models for localisation and dense 3d mapping in 6 dof

A Mirchev, B Kayalibay, P van der Smagt, J Bayer

arXiv preprint arXiv:2006.10178

2020

Learning to fly via deep model-based reinforcement learning

P Becker-Ehmck, M Karl, J Peters, P van der Smagt

arXiv preprint arXiv:2003.08876

2020

Learning flat latent manifolds with vaes

N Chen, A Klushyn, F Ferroni, J Bayer, P Van Der Smagt

arXiv preprint arXiv:2002.04881

2020

Continual learning with bayesian neural networks for non-stationary data

R Kurle, B Cseke, A Klushyn, P Van Der Smagt, S Günnemann

International Conference on Learning Representations

2020

Beta dvbf: Learning state-space models for control from high dimensional observations

N Das, M Karl, P Becker-Ehmck, P van der Smagt

arXiv preprint arXiv:1911.00756

2019

Variational tracking and prediction with generative disentangled state-space models

A Akhundov, M Soelch, J Bayer, P van der Smagt

arXiv preprint arXiv:1910.06205

2019

Unsupervised real-time control through variational empowerment

M Karl, P Becker-Ehmck, M Soelch, D Benbouzid, P van der Smagt, ...

The International Symposium of Robotics Research, 158-173

2019

Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images Nutan Chen†, Göran Westling‡, Benoni B. Edin‡ and

P van der Smagt

arXiv preprint arXiv:1909.05659

2019

Teaching a robot to see how it moves

P van der Smagt

Neural Network Perspectives on Cognition and Adaptive Robotics, 195-219

2019

Multi-source neural variational inference

R Kurle, S Günnemann, P Van der Smagt

Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4114-4121

2019

Early integration for movement modeling in latent spaces

R Hornung, N Chen, P van der Smagt

The Handbook of Multimodal-Multisensor Interfaces: Language Processing …

2019

Switching linear dynamics for variational bayes filtering

P Becker-Ehmck, J Peters, P Van Der Smagt

International conference on machine learning, 553-562

2019

Bayesian learning of neural network architectures

G Dikov, J Bayer

The 22nd International Conference on Artificial Intelligence and Statistics …

2019

ORC—a lightweight, lightning-fast middleware

F Frank, A Paraschos, P van der Smagt

2019 Third IEEE International Conference on Robotic Computing (IRC), 337-343

2019

Increasing the generalisaton capacity of conditional vaes

A Klushyn, N Chen, B Cseke, J Bayer, P van der Smagt

Artificial Neural Networks and Machine Learning–ICANN 2019: Deep Learning …

2019

Learning hierarchical priors in vaes

A Klushyn, N Chen, R Kurle, B Cseke, P van der Smagt

Advances in neural information processing systems 32

2019

On deep set learning and the choice of aggregations

M Soelch, A Akhundov, P van der Smagt, J Bayer

Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …

2019

Fast approximate geodesics for deep generative models

N Chen, F Ferroni, A Klushyn, A Paraschos, J Bayer, P van der Smagt

Artificial Neural Networks and Machine Learning–ICANN 2019: Deep Learning …

2019

Active learning based on data uncertainty and model sensitivity

N Chen, A Klushyn, A Paraschos, D Benbouzid, P Van der Smagt

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …

2018

Approximate bayesian inference in spatial environments

A Mirchev, B Kayalibay, M Soelch, P van der Smagt, J Bayer

arXiv preprint arXiv:1805.07206

2018

Metrics for deep generative models

N Chen, A Klushyn, R Kurle, X Jiang, J Bayer, P Smagt

International Conference on Artificial Intelligence and Statistics, 1540-1550

2018

Navigation and planning in latent maps

B Kayalibay, A Mirchev, M Soelch, P Van Der Smagt, J Bayer

FAIM workshop “Prediction and Generative Modeling in Reinforcement Learning 4

2018

Gaussian process neurons learn stochastic activation functions

S Urban, M Basalla, P van der Smagt

arXiv preprint arXiv:1711.11059

2017

Automatic differentiation for tensor algebras

S Urban, P van der Smagt

arXiv preprint arXiv:1711.01348

2017

Two-stream RNN/CNN for action recognition in 3D videos

R Zhao, H Ali, P Van der Smagt

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …

2017

Design and evaluation of a haptic interface with octopod kinematics

M Kühne, J Potzy, R García-Rochín, P van der Smagt, A Peer

IEEE/ASME Transactions on Mechatronics 22 (5), 2091-2101

2017

SynEM, automated synapse detection for connectomics

B Staffler, M Berning, KM Boergens, A Gour, P Smagt, M Helmstaedter

Elife 6, e26414

2017

Hitting the sweet spot: Automatic optimization of energy transfer during tool-held hits

J Vogel, N Takemura, H Höppner, P van der Smagt, G Ganesh

2017 IEEE International Conference on Robotics and Automation (ICRA), 1549-1556

2017

Key insights into hand biomechanics: human grip stiffness can be decoupled from force by cocontraction and predicted from electromyography

H Höppner, M Große-Dunker, G Stillfried, J Bayer, P Van Der Smagt

Frontiers in neurorobotics 11, 17

2017

Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform

E Falotico, L Vannucci, A Ambrosano, U Albanese, S Ulbrich, ...

Frontiers in neurorobotics 11, 2

2017

CNN-based segmentation of medical imaging data

B Kayalibay, G Jensen, P van der Smagt

arXiv preprint arXiv:1701.03056

2017

Dynamic movement primitives in latent space of time-dependent variational autoencoders

N Chen, M Karl, P Van Der Smagt

2016 IEEE-RAS 16th international conference on humanoid robots (Humanoids …

2016

Stable reinforcement learning with autoencoders for tactile and visual data

H Van Hoof, N Chen, M Karl, P van der Smagt, J Peters

2016 IEEE/RSJ international conference on intelligent robots and systems …

2016

Boost online virtual network embedding: Using neural networks for admission control

A Blenk, P Kalmbach, P Van Der Smagt, W Kellerer

2016 12th International Conference on Network and Service Management (CNSM …

2016

Variational inference with hamiltonian monte carlo

C Wolf, M Karl, P van der Smagt

arXiv preprint arXiv:1609.08203

2016

Evaluation of joint type modelling in the human hand

A Gustus, P van der Smagt

Journal of Biomechanics 49 (13), 3097-3100

2016

Learning Arbitrarily Complex Weight Uncertainties in Neural Networks

S Sahm, E Cator, P van der Smagt

2016

Musculoskeletal robots: scalability in neural control

C Richter, S Jentzsch, R Hostettler, JA Garrido, E Ros, A Knoll, ...

IEEE Robotics & Automation Magazine 23 (4), 128-137

2016

Unsupervised preprocessing for tactile data

M Karl, J Bayer, P van der Smagt

arXiv preprint arXiv:1606.07312

2016

ML-based tactile sensor calibration: A universal approach

M Karl, A Lohrer, D Shah, F Diehl, M Fiedler, S Ognawala, J Bayer, ...

arXiv preprint arXiv:1606.06588

2016

Deep variational bayes filters: Unsupervised learning of state space models from raw data

M Karl, M Soelch, J Bayer, P Van der Smagt

arXiv preprint arXiv:1605.06432

2016

A Differentiable Transition Between Additive and Multiplicative Neurons

W Köpp, P van der Smagt, S Urban

arXiv preprint arXiv:1604.03736

2016

iEMG: imaging electromyography

H Urbanek, P van der Smagt

Journal of Electromyography and Kinesiology 27, 1-9

2016

Variational inference for on-line anomaly detection in high-dimensional time series

M Sölch, J Bayer, M Ludersdorfer, P van der Smagt

arXiv preprint arXiv:1602.07109

2016

Scalability in neural control of musculoskeletal robots

C Richter, S Jentzsch, R Hostettler, JA Garrido, E Ros, AC Knoll, ...

arXiv preprint arXiv:1601.04862

2016

Editorial Board of Biological Cybernetics: Advances in Computational Neuroscience

JL van Hemmen, GB Ermentrout, W Senn, H Abarbanel, A Aertsen, ...

Biol Cybern 110, 1-2

2016

Neurorobotics: From vision to action

P Van Der Smagt, MA Arbib, G Metta

Springer Handbook of Robotics, 2069-2094

2016

Efficient movement representation by embedding dynamic movement primitives in deep autoencoders

N Chen, J Bayer, S Urban, P Van Der Smagt

2015 IEEE-RAS 15th international conference on humanoid robots (Humanoids …

2015

Efficient empowerment

M Karl, J Bayer, P van der Smagt

arXiv preprint arXiv:1509.08455

2015

Two-dimensional orthoglide mechanism for revealing areflexive human arm mechanical properties

H Höppner, M Grebenstein, P van der Smagt

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …

2015

Measuring fingertip forces from camera images for random finger poses

N Chen, S Urban, J Bayer, P van der Smagt

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …

2015

Fast adaptive weight noise

J Bayer, M Karl, D Korhammer, P van der Smagt

arXiv preprint arXiv:1507.05331

2015

Sensor calibration and hysteresis compensation with heteroscedastic gaussian processes

S Urban, M Ludersdorfer, P Van Der Smagt

IEEE Sensors Journal 15 (11), 6498-6506

2015

An assistive decision-and-control architecture for force-sensitive hand–arm systems driven by human–machine interfaces

J Vogel, S Haddadin, B Jarosiewicz, JD Simeral, D Bacher, LR Hochberg, ...

The International Journal of Robotics Research 34 (6), 763-780

2015

Flownet: Learning optical flow with convolutional networks

P Fischer, A Dosovitskiy, E Ilg, P Häusser, C Hazırbaş, V Golkov, ...

arXiv preprint arXiv:1504.06852

2015

A neural transfer function for a smooth and differentiable transition between additive and multiplicative interactions

S Urban, P van der Smagt

arXiv preprint arXiv:1503.05724

2015

Real-time Cerebellar Control of a Compliant Robotic Arm

C Richter, S Jentzsch, F Röhrbein, P van der Smagt, J Conradt

BCCN conference, Heidelberg

2015

Flownet: Learning optical flow with convolutional networks

A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ...

Proceedings of the IEEE International Conference on Computer Vision, 2758-2766

2015

Robust detection of anomalies via sparse methods

ZÁ Milacski, M Ludersdorfer, A Lőrincz, P van der Smagt

Neural Information Processing: 22nd International Conference, ICONIP 2015 …

2015

Model-free robot anomaly detection

R Hornung, H Urbanek, J Klodmann, C Osendorfer, P Van Der Smagt

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …

2014

Estimating finger grip force from an image of the hand using convolutional neural networks and gaussian processes

N Chen, S Urban, C Osendorfer, J Bayer, P Van Der Smagt

2014 IEEE International Conference on Robotics and Automation (ICRA), 3137-3142

2014

A new biarticular joint mechanism to extend stiffness ranges

H Höppner, W Wiedmeyer, P van der Smagt

2014 IEEE International Conference on Robotics and Automation (ICRA), 3403-3410

2014

Image super-resolution with fast approximate convolutional sparse coding

C Osendorfer, H Soyer, P Van Der Smagt

Neural Information Processing: 21st International Conference, ICONIP 2014 …

2014

Continuous control of the dlr light-weight robot iii by a human with tetraplegia using the braingate2 neural interface system

J Vogel, S Haddadin, JD Simeral, SD Stavisky, D Bacher, LR Hochberg, ...

Experimental Robotics: The 12th International Symposium on Experimental …

2014

MRI-based skeletal hand movement model

G Stillfried, U Hillenbrand, M Settles, P van der Smagt

The human hand as an inspiration for robot hand development, 49-75

2014

Task dependency of grip stiffness—a study of human grip force and grip stiffness dependency during two different tasks with same grip forces

H Höppner, J McIntyre, P van der Smagt

PloS one 8 (12), e80889

2013

On fast dropout and its applicability to recurrent networks

J Bayer, C Osendorfer, D Korhammer, N Chen, S Urban, P van der Smagt

arXiv preprint arXiv:1311.0701

2013

Continuous robot control using surface electromyography of atrophic muscles

J Vogel, J Bayer, P Van Der Smagt

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …

2013

Computing grip force and torque from finger nail images using gaussian processes

S Urban, J Bayer, C Osendorfer, G Westling, BB Edin, P Van Der Smagt

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …

2013

Robots driven by compliant actuators: Optimal control under actuation constraints

DJ Braun, F Petit, F Huber, S Haddadin, P Van Der Smagt, ...

IEEE Transactions on Robotics 29 (5), 1085-1101

2013

Part II: ISER Session Summary on “Dynamics and Control”

P van der Smagt

Experimental Robotics: The 13th International Symposium on Experimental …

2013

Minimizing data consumption with sequential online feature selection

T Rückstieß, C Osendorfer, P van der Smagt

International Journal of Machine Learning and Cybernetics 4, 235-243

2013

Evidence of muscle synergies during human grasping

C Castellini, P van der Smagt

Biological cybernetics 107, 233-245

2013

Relation between object properties and EMG during reaching to grasp

N Fligge, H Urbanek, P van der Smagt

Journal of Electromyography and Kinesiology 23 (2), 402-410

2013

Unsupervised feature learning for low-level local image descriptors

C Osendorfer, J Bayer, S Urban, P van der Smagt

arXiv preprint arXiv:1301.2840

2013

Training neural networks with implicit variance

J Bayer, C Osendorfer, S Urban, P van der Smagt

Neural Information Processing: 20th International Conference, ICONIP 2013 …

2013

Convolutional neural networks learn compact local image descriptors

C Osendorfer, J Bayer, S Urban, P van der Smagt

Neural Information Processing: 20th International Conference, ICONIP 2013 …

2013

Identification of human limb stiffness in 5 DoF and estimation via EMG

D Lakatos, D Rüschen, J Bayer, J Vogel, P van der Smagt

Experimental Robotics: The 13th International Symposium on Experimental …

2013

Foreword for the special issue on Multimodal and Sensorimotor Bionics

JL van Hemmen, P van der Smagt, BE Stein

Biological cybernetics 106 (11-12), 615

2012

Human hand modelling: kinematics, dynamics, applications

A Gustus, G Stillfried, J Visser, H Jörntell, P van der Smagt

Biological cybernetics 106, 741-755

2012

Optimal torque and stiffness control in compliantly actuated robots

DJ Braun, F Petit, F Huber, S Haddadin, P Van Der Smagt, ...

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …

2012

Generating marker stars for 6D optical tracking

D Gierlach, A Gustus, P van der Smagt

2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …

2012

Patient performance evaluation using Kinect and Monte Carlo-based finger tracking

F Cordella, F Di Corato, L Zollo, B Siciliano, P van der Smagt

2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …

2012

Minimum jerk for human catching movements in 3D

N Fligge, J McIntyre, P van der Smagt

2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …

2012

Building the Ninapro database: A resource for the biorobotics community

M Atzori, A Gijsberts, S Heynen, AGM Hager, O Deriaz, P Van Der Smagt, ...

2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …

2012

Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

LR Hochberg, D Bacher, B Jarosiewicz, NY Masse, JD Simeral, J Vogel, ...

Nature 485 (7398), 372-375

2012

Minimizing Data Consumption in Sequential Classification

T Rückstiess, C Osendorfer, P Smagt

International Journal of Machine Learning and Cybernetics

2012

Learning sequence neighbourhood metrics

J Bayer, C Osendorfer, P van der Smagt

Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …

2012

Conditioning vs. excitation time for estimating impedance parameters of the human arm

D Lakatos, F Petit, P Van Der Smagt

2011 11th IEEE-RAS International Conference on Humanoid Robots, 636-642

2011

EMG-based teleoperation and manipulation with the DLR LWR-III

J Vogel, C Castellini, P van der Smagt

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …

2011

Neue Entwicklungen in der Rehabilitation von Handfunktionsstörungen

P van der Smagt

Handfunktionsstörungen in der Neurologie: Klinik und Rehabilitation, 433

2011

Preliminary evidence of dynamic muscular synergies in human grasping

C Castellini, P van der Smagt

2011 15th international conference on advanced robotics (ICAR), 28-33

2011

The Grasp Perturbator: Calibrating human grasp stiffness during a graded force task

H Höppner, D Lakatos, H Urbanek, C Castellini, P van der Smagt

2011 IEEE International Conference on Robotics and Automation, 3312-3316

2011

Handfunktionsstörungen in der Neurologie: Klinik und Rehabilitation

P van der Smagt

Neue Entwicklungen in der Rehabilitation von Handfunktionsstörungen …

2011

Neue Entwicklungen in der Rehabilitation von Handfunktionsstörungen: Humanrobotik

P Smagt

Handfunktionsstörungen in der Neurologie: Klinik und Rehabilitation

2011

Bionik: Bionische Roboter (VDI 6222)

J Albiez, C Ament, I Boblan, N Elkmann, P Ferrara, M Fischer, J Mämpel, ...

2011

Sequential feature selection for classification

T Rückstieß, C Osendorfer, P Van Der Smagt

AI 2011: Advances in Artificial Intelligence: 24th Australasian Joint …

2011

Unsupervised learning of low-level audio features for music similarity estimation

C Osendorfer, J Schlüter, J Schmidhuber, P Smagt

Workshop on Learning Architectures, Representations, and Optimization for …

2011

STIFF: Enhancing biomorphic agility through variable stiffness

P Van Der Smagt, F Van Der Helm, J Schmidhuber, S Vijayakumar, ...

4th International Conference on Cognitive Systems, CogSys 2010

2010

The DLR touch sensor I: A flexible tactile sensor for robotic hands based on a crossed-wire approach

MW Strohmayr, HP Saal, AH Potdar, P van der Smagt

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …

2010

Movement model of a human hand based on magnetic resonance imaging (MRI)

G Stillfried, P van der Smagt

2010

Complex Dynamics in the Granual Layer of the cerebellum: Large-Scale Computational Reconstructions

E D’Angelo, S Solinas, E Ros, J Garrido, H Jörntell, P Van Der Smagt

4th International Conference on Cognitive Systems, CogSys 2010

2010

Control of a robotic arm using intracortical motor signal by an individual with tetraplegia in the BrainGate2 trial

J Liu, JD Simeral, SD Stavisky, D Bacher, J Vogel, S Haddadin, P Smagt, ...

40th Annual Meeting in Neuroscience (SFN2010)

2010

The Arm-Perturbator: Design of a Wearable Perturbation Device to measure Limb Impedance

H Höppner, D Lakatos, H Urbanek, P Smagt

International Conference on Applied Bionics and Biomechanics (ICABB)

2010

Human arm impedance and EMG in 3D

S Patrick, C Castellini, H Urbanek

Proceedings

2009

Anticipatory grip force control using a cerebellar model

JR De Gruijl, P van der Smagt, CI De Zeeuw

Neuroscience 162 (3), 777-786

2009

Robotics of human movements

P van der Smagt, M Grebenstein, H Urbanek, N Fligge, M Strohmayr, ...

Journal of Physiology-Paris 103 (3-5), 119-132

2009

VIACTORS-Variable Impedance ACTuation systems embodying advanced interaction behaviors

A Albu-Schaeffer, A Bicchi, S Stramigioli, E Burdet, P Smagt, A Parravicini, ...

European Future Technologies Conference, FET09

2009

Human hand kinematics based on MRI imaging

G Stillfried, P van der Smagt

Understanding the Human Hand for Advancing Robotic Manipulation Workshop at …

2009

Surface EMG in advanced hand prosthetics

C Castellini, P Van Der Smagt

Biological cybernetics 100, 35-47

2009

Human-like robot hand

P van der Smagt

Advanced Manufacturing Technology 29 (9), 10-11

2008

Surface EMG suffices to classify the motion of each finger independently

S Maier

Proceedings of MOVIC 2008

2008

Surface EMG for force control of mechanical hands

C Castellini, P Van Der Smagt, G Sandini, G Hirzinger

2008 IEEE International Conference on Robotics and Automation, 725-730

2008

Neurorobotics: From vision to action

M Arbib, G Metta, P Smagt

Springer handbook of robotics

2008

Calculation of Human Arm Stiffness Using a Biomechanical Model

P Artati, P Van der Smagt, DIN Krüger, JMB Baena

Ph. D. Thesis

2008

Using MRT data to compute a hand kinematic model

P Smagt, G Stillfried

Proc. 9th International Conference on Motion and Vibration Control (MOVIC)

2008

Using MRI data to compute a hand kinematic model

P van der Smagt, G Stillfried

9th conference on motion and vibration control (MOVIC), München, Germany

2008

Human motion range data optimizes anthropomorphic robotic hand-arm system design

H Panzer, O Eiberger, M Grebenstein, S Wolf, P Schaefer, P Smagt

Proc. 9th International Conference on Motion and Vibration Control (MOVIC)

2008

Antagonism for a highly anthropomorphic hand–arm system

M Grebenstein, P van der Smagt

Advanced Robotics 22 (1), 39-55

2008

Learning EMG control of a robotic hand: towards active prostheses

S Bitzer, P Van Der Smagt

Proceedings 2006 IEEE International Conference on Robotics and Automation …

2006

NEUROBOTICS: The fusion of neuroscience and robotics

P van der Smagt, G Hirzinger

VDI BERICHTE 1956, 223

2006

Learning from demonstration: repetitive movements for autonomous service robotics

H Urbanek, A Albu-Schaffer, P van der Smagt

2004 IEEE/RSJ International Conference on Intelligent Robots and Systems …

2004

Guest Editorial for Special Issue on Scalable Applications of Neural Networks to Robotics

P van der Smagt, D Bullock

Applied Intelligence 17 (1), 7-10

2002

Searching a scalable approach to cerebellar based control

J Peters, P van der Smagt

Applied intelligence 17, 11-33

2002

Solving the ill-conditioning in neural network learning

P Van Der Smagt, G Hirzinger

Neural networks: tricks of the trade, 193-206

2002

Benchmarking cerebellar control

P van der Smagt

Robotics and Autonomous Systems 32 (4), 237-251

2000

The cerebellum as computed torque model

P van der Smagt, G Hirzinger

KES'2000. Fourth International Conference on Knowledge-Based Intelligent …

2000

An overview of cerebellar control

P van der Smagt

IEE Workshop on Self-Learning Robots III Brainstyle Robotics: The Cerebellum …

1999

Neuronale Perzeption und Manipulation multisensorieller Manipulatoren und Roboterhände

R Koeppe, P Smagt, A Albu-Schäffer, K Arbter, M Fischer, F Lange, ...

1999

Perception and manipulation in robotics- Neural network approaches

R Koeppe, P van der Smagt, A Albu-Schaeffer, K Arbter, M Fischer, ...

Cologne, Germany: Deutsches Zentrum fuer Luft- und Raumfahrt(DLR-Mitteilung …

1999

Cerebellar control of robot arms

P van der Smagt

Connection Science 10 (3-4), 301-320

1998

Learning techniques in a dataglove based telemanipulation system for the DLR hand

M Fischer, P Van Der Smagt, G Hirzinger

Proceedings. 1998 IEEE International Conference on Robotics and Automation …

1998

Book Review-//Neural systems for robotics

M Zeller, O Omidvar, P Smagt

Neural Networks 11 (6), 1141-1142

1998

Why feed-forward networks are in a bad shape

P van der Smagt, G Hirzinger

ICANN 98: Proceedings of the 8th International Conference on Artificial …

1998

Dynamic control in new robot structures: Can we learn nonlinear functions of high dimensionality?

P van der Smagt

Can Artificial erebellar Models ompete to, 5

1997

Neural networks and pattern recognition

O Omidvar, J Dayhoff

Elsevier

1997

Neural systems for robotics

O Omidvar, P van der Smagt

Academic Press

1997

Can artificial cerebellar models compete to control robots

P van der Smagt, D Bullock

Extended abstracts of the NIPS 97

1997

Visual feedback in motion

P van der Smagt, F Groen

Neural systems for robotics, 37-73

1997

Analysis and control of a rubbertuator arm

P van der Smagt, F Groen, K Schulten

Biological Cybernetics 75 (5), 433-440

1996

A robot arm is neurally controlled using monocular feedback

P Van Der Smagt

IET Digital Library

1996

An introduction to neural networks

B Kröse, P van der Smagt

1996

Computer Systemen en Applicaties

P van der Smagt

1995

Visual robot arm guidance using neural networks

P van der Smagt

1995

A Pilot Study Into Parallel Hierarchical SOM's

P van der Smagt, FCA Groen, LO Hertzberger

Universiteit van Amsterdam. Department of Computer Systems

1995

Using many-particle decomposition to get a parallel self-organising map

PPP van der Smagt, BJA Kröse

SION

1995

A monocular robot arm can be neurally positioned

P van Der Smagt, FCA Groen, BJA Kröse

Proceedings of the 1995 International Conference on Intelligent Autonomous …

1995

Approximation with neural networks: Between local and global approximation

P van der Smagt, F Groen

Proceedings of ICNN'95-International Conference on Neural Networks 2, 1060-1064

1995

Nested networks for robot control

A Jansen, P van der Smagt, F Groen

Applications of neural networks, 221-239

1995

A visually guided robot and a neural network join to grasp slanted objects

P van der Smagt, A Dev, FCA Groen

Neural Networks: Artificial Intelligence and Industrial Applications …

1995

Miss v

P van der Smagt, FCA Groen, BJA Krose

1994

The locally linear nested network for robot manipulation

P van der Smagt, F Groen, F van het Groenewoud

Neural Networks, 1994. IEEE World Congress on Computational Intelligence …

1994

Simderella: A robot simulator for neuro-controller design

P van der Smagt

Neurocomputing 6 (2), 281-285

1994

Neural network control of a pneumatic robot arm

T Hesselroth, K Sarkar, P van der Smagt, K Schulten

Systems, Man and Cybernetics, IEEE Transactions on 24 (1), 28-38

1994

Minimisation methods for training feed-forward networks

P van der Smagt

Neural Networks 7, 1-11

1994

Robotic hand-eye coordination using multi-resolution linear perceptron representation

P van der Smagt, F van het Groenewoud, F Groen

1993

Neural Networks for Robot Eye-Hand Coordination

PP van der Smagt, MGP Bartholomeus

ICANN’93: Proceedings of the International Conference on Artificial Neural …

1993

Robot hand-eye coordination using neural networks

P van der Smagt, F Groen, B Kröse

Universiteit van Amsterdam. Department of Computer Systems

1993

Control of pneumatic robot arm dynamics by a neural network

P Van der Smagt, K Schulten

Proc. of the 1993 World Congress on Neural Networks 3, 180-183

1993

Neural Networks for Robot Eye-Hand Coordination

FCA Groen, BJA Kröse, PP van der Smagt, MGP Bartholomeus, AJ Noest

ICANN’93: Proceedings of the International Conference on Artificial Neural …

1993

A one-eyed self learning robot manipulator

BJA Kröse, PP van der Smagt, FCA Groen

Neural Networks in Robotics, 19-28

1993

Interpolative robot control with the nested network approach

P van der Smagt, A Jansen, FCA Groen

Proceedings of the 1992 IEEE International Symposium on Intelligent Control …

1992

High-precision robot control: The nested network

A Jansen, P van der Smagt, F Groen

Artificial Neural Networks 2, 583-586

1992

A Self-learning Controller For Monocular Grasping.

PP van der Smagt, BJA Kröse, FCA Groen

IROS, 177-181

1992

A real-time learning neural robot controller

P van der Smagt, J Krose

Proceedings of the 1991 International Conference on Artificial Neural …

1991

A comparative study of neural network algorithms applied to optical character recognition

P van der Smagt

Proceedings of the 3rd international conference on Industrial and …

1990