publications
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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AG Fullard, JT O’Brien, WE
Kerzendorf, M Shrestha, JL Hoffman, R Ignace, ... The Astrophysical Journal
930 (1), 89 |
2022 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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JT O’Brien, WE Kerzendorf,
A Fullard, M Williamson, R Pakmor, J Buchner, ... arXiv e-prints, arXiv:
2105.07910 |
2021 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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Learning flat latent manifolds with
vaes N Chen, A Klushyn, F
Ferroni, J Bayer, P Van Der Smagt arXiv preprint
arXiv:2002.04881 |
2020 |
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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 |
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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 |
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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 |
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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 |
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P van der Smagt arXiv preprint
arXiv:1909.05659 |
2019 |
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Teaching a robot to see how it moves P van der Smagt Neural Network
Perspectives on Cognition and Adaptive Robotics, 195-219 |
2019 |
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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 |
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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 |
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Switching linear dynamics for
variational bayes filtering P Becker-Ehmck, J Peters,
P Van Der Smagt International conference
on machine learning, 553-562 |
2019 |
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Bayesian learning of neural network
architectures G Dikov, J Bayer The 22nd International
Conference on Artificial Intelligence and Statistics … |
2019 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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Approximate bayesian inference in
spatial environments A Mirchev, B Kayalibay, M
Soelch, P van der Smagt, J Bayer arXiv preprint
arXiv:1805.07206 |
2018 |
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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 |
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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 |
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Gaussian process neurons learn
stochastic activation functions S Urban, M Basalla, P van
der Smagt arXiv preprint
arXiv:1711.11059 |
2017 |
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Automatic differentiation for tensor
algebras S Urban, P van der Smagt arXiv preprint
arXiv:1711.01348 |
2017 |
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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 |
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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 |
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SynEM, automated synapse detection for
connectomics B Staffler, M Berning, KM
Boergens, A Gour, P Smagt, M Helmstaedter Elife 6, e26414 |
2017 |
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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 |
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H Höppner, M Große-Dunker,
G Stillfried, J Bayer, P Van Der Smagt Frontiers in neurorobotics
11, 17 |
2017 |
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E Falotico, L Vannucci, A
Ambrosano, U Albanese, S Ulbrich, ... Frontiers in neurorobotics
11, 2 |
2017 |
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CNN-based segmentation of medical
imaging data B Kayalibay, G Jensen, P
van der Smagt arXiv preprint
arXiv:1701.03056 |
2017 |
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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 |
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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 |
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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 |
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Variational inference with hamiltonian
monte carlo C Wolf, M Karl, P van der
Smagt arXiv preprint
arXiv:1609.08203 |
2016 |
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Evaluation of joint type modelling in
the human hand A Gustus, P van der Smagt Journal of Biomechanics 49
(13), 3097-3100 |
2016 |
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Learning Arbitrarily Complex Weight
Uncertainties in Neural Networks S Sahm, E Cator, P van der
Smagt |
2016 |
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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 |
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Unsupervised preprocessing for tactile
data M Karl, J Bayer, P van der
Smagt arXiv preprint
arXiv:1606.07312 |
2016 |
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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 |
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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 |
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A Differentiable Transition Between
Additive and Multiplicative Neurons W Köpp, P van der Smagt, S
Urban arXiv preprint
arXiv:1604.03736 |
2016 |
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iEMG: imaging electromyography H Urbanek, P van der Smagt Journal of
Electromyography and Kinesiology 27, 1-9 |
2016 |
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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 |
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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 |
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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 |
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Neurorobotics: From vision to action P Van Der Smagt, MA Arbib,
G Metta Springer Handbook of
Robotics, 2069-2094 |
2016 |
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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 |
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M Karl, J Bayer, P van der
Smagt arXiv preprint
arXiv:1509.08455 |
2015 |
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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 |
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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 |
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J Bayer, M Karl, D
Korhammer, P van der Smagt arXiv preprint
arXiv:1507.05331 |
2015 |
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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 |
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J Vogel, S Haddadin, B
Jarosiewicz, JD Simeral, D Bacher, LR Hochberg, ... The International Journal
of Robotics Research 34 (6), 763-780 |
2015 |
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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 |
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S Urban, P van der Smagt arXiv preprint
arXiv:1503.05724 |
2015 |
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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 |
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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 |
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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 |
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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 |
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N Chen, S Urban, C
Osendorfer, J Bayer, P Van Der Smagt 2014 IEEE International
Conference on Robotics and Automation (ICRA), 3137-3142 |
2014 |
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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 |
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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 |
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J Vogel, S Haddadin, JD
Simeral, SD Stavisky, D Bacher, LR Hochberg, ... Experimental Robotics: The
12th International Symposium on Experimental … |
2014 |
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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 |
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H Höppner, J McIntyre, P
van der Smagt PloS one 8 (12), e80889 |
2013 |
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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 |
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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 |
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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 |
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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 |
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Part II: ISER Session Summary on
“Dynamics and Control” P van der Smagt Experimental Robotics: The
13th International Symposium on Experimental … |
2013 |
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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 |
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Evidence of muscle synergies during
human grasping C Castellini, P van der
Smagt Biological cybernetics
107, 233-245 |
2013 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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Human hand modelling: kinematics,
dynamics, applications A Gustus, G Stillfried, J
Visser, H Jörntell, P van der Smagt Biological cybernetics
106, 741-755 |
2012 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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Minimizing Data Consumption in
Sequential Classification T Rückstiess, C
Osendorfer, P Smagt International Journal of
Machine Learning and Cybernetics |
2012 |
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Learning sequence neighbourhood
metrics J Bayer, C Osendorfer, P
van der Smagt Artificial Neural Networks
and Machine Learning–ICANN 2012: 22nd … |
2012 |
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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 |
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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 |
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Neue Entwicklungen in der
Rehabilitation von Handfunktionsstörungen P van der Smagt Handfunktionsstörungen in
der Neurologie: Klinik und Rehabilitation, 433 |
2011 |
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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 |
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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 |
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Handfunktionsstörungen in der
Neurologie: Klinik und Rehabilitation P van der Smagt Neue Entwicklungen in der
Rehabilitation von Handfunktionsstörungen … |
2011 |
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Neue Entwicklungen in der
Rehabilitation von Handfunktionsstörungen: Humanrobotik P Smagt Handfunktionsstörungen in
der Neurologie: Klinik und Rehabilitation |
2011 |
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Bionik: Bionische Roboter (VDI 6222) J Albiez, C Ament, I
Boblan, N Elkmann, P Ferrara, M Fischer, J Mämpel, ... |
2011 |
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Sequential feature selection for
classification T Rückstieß, C Osendorfer,
P Van Der Smagt AI 2011: Advances in
Artificial Intelligence: 24th Australasian Joint … |
2011 |
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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 |
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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 |
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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 |
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Movement model of a human hand based
on magnetic resonance imaging (MRI) G Stillfried, P van der
Smagt |
2010 |
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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 |
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J Liu, JD Simeral, SD
Stavisky, D Bacher, J Vogel, S Haddadin, P Smagt, ... 40th Annual Meeting in
Neuroscience (SFN2010) |
2010 |
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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 |
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Human arm impedance and EMG in 3D S Patrick, C Castellini, H
Urbanek Proceedings |
2009 |
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Anticipatory grip force control using
a cerebellar model JR De Gruijl, P van der
Smagt, CI De Zeeuw Neuroscience 162 (3),
777-786 |
2009 |
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P van der Smagt, M
Grebenstein, H Urbanek, N Fligge, M Strohmayr, ... Journal of
Physiology-Paris 103 (3-5), 119-132 |
2009 |
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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 |
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Human hand kinematics based on MRI
imaging G Stillfried, P van der
Smagt Understanding the Human
Hand for Advancing Robotic Manipulation Workshop at … |
2009 |
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Surface EMG in advanced hand
prosthetics C Castellini, P Van Der
Smagt Biological cybernetics
100, 35-47 |
2009 |
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P van der Smagt Advanced Manufacturing
Technology 29 (9), 10-11 |
2008 |
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Surface EMG suffices to classify the
motion of each finger independently S Maier Proceedings of MOVIC 2008 |
2008 |
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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 |
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Neurorobotics: From vision to action M Arbib, G Metta, P Smagt Springer handbook of
robotics |
2008 |
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Calculation of Human Arm Stiffness
Using a Biomechanical Model P Artati, P Van der Smagt,
DIN Krüger, JMB Baena Ph. D. Thesis |
2008 |
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Using MRT data to compute a hand
kinematic model P Smagt, G Stillfried Proc. 9th International
Conference on Motion and Vibration Control (MOVIC) |
2008 |
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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 |
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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 |
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Antagonism for a highly
anthropomorphic hand–arm system M Grebenstein, P van der
Smagt Advanced Robotics 22 (1),
39-55 |
2008 |
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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 |
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NEUROBOTICS: The fusion of
neuroscience and robotics P van der Smagt, G
Hirzinger VDI BERICHTE 1956, 223 |
2006 |
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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 |
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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 |
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Searching a scalable approach to
cerebellar based control J Peters, P van der Smagt Applied intelligence 17,
11-33 |
2002 |
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Solving the ill-conditioning in neural
network learning P Van Der Smagt, G
Hirzinger Neural networks: tricks of
the trade, 193-206 |
2002 |
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Benchmarking cerebellar control P van der Smagt Robotics and Autonomous
Systems 32 (4), 237-251 |
2000 |
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The cerebellum as computed torque
model P van der Smagt, G
Hirzinger KES'2000. Fourth
International Conference on Knowledge-Based Intelligent … |
2000 |
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An overview of cerebellar control P van der Smagt IEE Workshop on
Self-Learning Robots III Brainstyle Robotics: The Cerebellum … |
1999 |
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Neuronale Perzeption und Manipulation
multisensorieller Manipulatoren und Roboterhände R Koeppe, P Smagt, A
Albu-Schäffer, K Arbter, M Fischer, F Lange, ... |
1999 |
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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 |
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Cerebellar control of robot arms P van der Smagt Connection Science 10
(3-4), 301-320 |
1998 |
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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 |
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Book Review-//Neural systems for
robotics M Zeller, O Omidvar, P
Smagt Neural Networks 11 (6),
1141-1142 |
1998 |
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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 |
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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 |
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Neural networks and pattern
recognition O Omidvar, J Dayhoff Elsevier |
1997 |
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O Omidvar, P van der Smagt Academic Press |
1997 |
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Can artificial cerebellar models
compete to control robots P van der Smagt, D Bullock Extended abstracts of the
NIPS 97 |
1997 |
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P van der Smagt, F Groen Neural systems for
robotics, 37-73 |
1997 |
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Analysis and control of a rubbertuator
arm P van der Smagt, F Groen,
K Schulten Biological Cybernetics 75
(5), 433-440 |
1996 |
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A robot arm is neurally controlled
using monocular feedback P Van Der Smagt IET Digital Library |
1996 |
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An introduction to neural networks B Kröse, P van der Smagt |
1996 |
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Computer Systemen en Applicaties P van der Smagt |
1995 |
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Visual robot arm guidance using neural
networks P van der Smagt |
1995 |
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A Pilot Study Into Parallel
Hierarchical SOM's P van der Smagt, FCA
Groen, LO Hertzberger Universiteit van
Amsterdam. Department of Computer Systems |
1995 |
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Using many-particle decomposition to
get a parallel self-organising map PPP van der Smagt, BJA
Kröse SION |
1995 |
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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 |
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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 |
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Nested networks for robot control A Jansen, P van der Smagt,
F Groen Applications of neural
networks, 221-239 |
1995 |
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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 |
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P van der Smagt, FCA
Groen, BJA Krose |
1994 |
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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 |
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Simderella: A robot simulator for
neuro-controller design P van der Smagt Neurocomputing 6 (2),
281-285 |
1994 |
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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 |
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Minimisation methods for training feed-forward
networks P van der Smagt Neural Networks 7, 1-11 |
1994 |
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Robotic hand-eye coordination using
multi-resolution linear perceptron representation P van der Smagt, F van het
Groenewoud, F Groen |
1993 |
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Neural Networks for Robot Eye-Hand
Coordination PP van der Smagt, MGP
Bartholomeus ICANN’93: Proceedings of
the International Conference on Artificial Neural … |
1993 |
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Robot hand-eye coordination using
neural networks P van der Smagt, F Groen,
B Kröse Universiteit van
Amsterdam. Department of Computer Systems |
1993 |
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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 |
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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 |
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A one-eyed self learning robot
manipulator BJA Kröse, PP van der
Smagt, FCA Groen Neural Networks in
Robotics, 19-28 |
1993 |
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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 |
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High-precision robot control: The
nested network A Jansen, P van der Smagt,
F Groen Artificial Neural Networks
2, 583-586 |
1992 |
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A Self-learning Controller For
Monocular Grasping. PP van der Smagt, BJA
Kröse, FCA Groen IROS, 177-181 |
1992 |
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A real-time learning neural robot
controller P van der Smagt, J Krose Proceedings of the 1991
International Conference on Artificial Neural … |
1991 |
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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 |
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