Patrick van der Smagt - Publications

Total Publications: 185
2025 (6 publications)
Overcoming Knowledge Barriers: Online Imitation Learning from Visual Observation with Pretrained World Models
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt and Maximilian Karl
Transactions on Machine Learning Research, vol. 2025, 2025
LIMT: Language-Informed Multi-Task Visual World Models
Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl and Nutan Chen
International Conference on Robotics and Automation (ICRA), 2025
TechOps: Technical Documentation Templates for the AI Act
Laura Lucaj, Alex Loosley, Hakan Jonsson, Urs Gasser and Patrick van der Smagt
CoRR, vol. abs/2508.08804, 2025
FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
Marvin Alles, Nutan Chen, Patrick van der Smagt and Botond Cseke
arXiv preprint arXiv:2505.14139, 2025
Latent Action World Models for Control with Unlabeled Trajectories
Marvin Alles, Xingyuan Zhang, Patrick van der Smagt and Philip Becker-Ehmck
arXiv preprint arXiv:2512.10016, 2025
Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters
Ahmed Agha, Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt and Justin Bayer
Proceedings of the 8th Conference on Robot Learning, 2025
2024 (11 publications)
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt and Maximilian Karl
Neural Information Processing Systems (NeurIPS), 2024
1991T-Like Type Ia supernovae as an extension of the normal population
John T O'Brien, Wolfgang E Kerzendorf, Andrew Fullard, Rüdiger Pakmor, Johannes Buchner, Christian Vogl, et al.
The Astrophysical Journal, vol. 964, pp. 137, 2024
On the role of the action space in robot manipulation learning and sim-to-real transfer
Elie Aljalbout, Felix Frank, Maximilian Karl and Patrick van der Smagt
IEEE Robotics and Automation Letters, vol. 9, pp. 5895--5902, 2024
Scalable stellar evolution forecasting
K Maltsev, FRN Schneider, FK Roepke, AI Jordan, GA Qadir, WE Kerzendorf, et al.
Astronomy & Astrophysics, vol. 681, 2024
Guided Decoding for Robot On-line Motion Generation and Adaption
Nutan Chen, Elie Aljalbout, Botond Cseke, Patrick van der Smagt, Alexandros Paraschos and Marvin Alles
23rd IEEE-RAS International Conference on Humanoid Robots, Humanoids 2024, Nancy, France, November 22–24, 2024, 2024
A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation
Yin Li, Qi Chen, Kai Wang, Meige Li, Liping Si, Yingwei Guo, et al.
arXiv preprint arXiv:2404.03253, 2024
Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt and Maximilian Karl
arXiv preprint arXiv:2404.18896, 2024
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems
Djalel Benbouzid, Christiane Plociennik, Laura Lucaj, Mihai Maftei, Iris Merget, Aljoscha Burchardt, et al.
arXiv preprint arXiv:2405.13191, 2024
Introducing Finite Element Method Integrated Networks (FEMIN)
Simon Thel, Lars Greve, Bram van de Weg and Patrick van der Smagt
Computer Methods in Applied Mechanics and Engineering, vol. 427, pp. 117073, 2024
The Shortcomings of Force-from-Motion in Robot Learning
Elie Aljalbout, Felix Frank, Patrick van der Smagt and Alexandros Paraschos
arXiv preprint arXiv:2407.02904, 2024
Human short-latency reflexes show precise short-term gain adaptation after prior motion
Philipp Stratmann, Annika Schmidt, Hannes H"oppner, Patrick van der Smagt, Tobias Meindl, David W Franklin, et al.
Journal of Neurophysiology, vol. 132, pp. 1680--1692, 2024
2023 (5 publications)
PRISM: Probabilistic Real-Time Inference in Spatial World Models
Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers and Justin Bayer
Conference on Robot Learning (CoRL), 2023
CLAS: Coordinating multi-robot manipulation with central latent action spaces
Elie Aljalbout, Maximilian Karl and Patrick van der Smagt
Learning for Dynamics and Control Conference (L4DC), 2023
Filter-Aware Model-Predictive Control
Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt and Justin Bayer
Learning for Dynamics and Control Conference (L4DC), 2023
AI regulation is (not) all you need
Laura Lucaj, Patrick van der Smagt and Djalel Benbouzid
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023
A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context
Dafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, Jil Grabowski, Mihai Maftei, Mattis Jacobs, et al.
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
2022 (6 publications)
Chronic Multi-Electrode Electromyography in Snakes
Grady W Jensen, Patrick van der Smagt, Harald Luksch, Hans Straka and Tobias Kohl
Frontiers in Behavioral Neuroscience, vol. 15, pp. 761891, 2022
Tracking and planning with spatial world models
Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt and Justin Bayer
Learning for Dynamics and Control Conference (L4DC), 2022
New mass estimates for massive binary systems: a probabilistic approach using polarimetric radiative transfer
Andrew G Fullard, John T O'Brien, Wolfgang E Kerzendorf, Manisha Shrestha, Jennifer L Hoffman, Richard Ignace, et al.
The Astrophysical Journal, vol. 930, pp. 89, 2022
Flat latent manifolds for music improvisation between human and machine
Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna and Patrick van der Smagt
Conference on AI Music Creativity (AIMC), 2022
Probabilistic Dalek–-Emulator framework with probabilistic prediction for supernova tomography
Wolfgang Kerzendorf, Nutan Chen, Jack O'Brien, Johannes Buchner and Patrick van der Smagt
International Conference on Machine Learning (ICML), 2022
Local distance preserving auto-encoders using continuous knn graphs
Nutan Chen, Patrick van der Smagt and Botond Cseke
International Conference on Machine Learning (ICML), 2022
2021 (10 publications)
Variational state-space models for localisation and dense 3D mapping in 6 DoF
Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt and Justin Bayer
International Conference on Learning Representations (ICLR), 2021
Layerwise learning for quantum neural networks
Andrea Skolik, Jarrod R McClean, Masoud Mohseni, Patrick van der Smagt and Martin Leib
Quantum Machine Intelligence, vol. 3, pp. 1--11, 2021
Dalek: A Deep Learning Emulator for TARDIS
Wolfgang E Kerzendorf, Christian Vogl, Johannes Buchner, Gabriella Contardo, Marc Williamson and Patrick van der Smagt
The Astrophysical Journal Letters, vol. 910, pp. L23, 2021
Mind the gap when conditioning amortised inference in sequential latent-variable models
Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay and Patrick van der Smagt
International Conference on Learning Representations (ICLR), 2021
Constrained probabilistic movement primitives for robot trajectory adaptation
Felix Frank, Alexandros Paraschos, Patrick van der Smagt and Botond Cseke
IEEE Transactions on Robotics, vol. 38, pp. 2276--2294, 2021
Less Suboptimal Learning and Control in Variational POMDPs
Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt and Justin Bayer
International Conference on Learning Representations (ICLR), 2021
Probabilistic reconstruction of type Ia supernova SN 2002bo
John T O'Brien, Wolfgang E Kerzendorf, Andrew Fullard, Marc Williamson, Rüdiger Pakmor, Johannes Buchner, et al.
The Astrophysical Journal Letters, vol. 916, pp. L14, 2021
Exploration via empowerment gain: Combining novelty, surprise and learning progress
Philip Becker-Ehmck, Maximilian Karl, Jan Peters and Patrick van der Smagt
International Conference on Machine Learning (ICML), 2021
An adaptive mechatronic exoskeleton for force-controlled finger rehabilitation
Thomas Dickmann, Nikolas J Wilhelm, Claudio Glowalla, Sami Haddadin, Patrick van der Smagt and Rainer Burgkart
Frontiers in Robotics and AI, vol. 8, pp. 716451, 2021
Latent matters: Learning deep state-space models
Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke and Patrick van der Smagt
Neural Information Processing Systems (NeurIPS), vol. 34, pp. 10234--10245, 2021
2020 (4 publications)
Estimating fingertip forces, torques, and local curvatures from fingernail images
Nutan Chen, Göran Westling, Benoni B Edin and Patrick van der Smagt
Robotica, vol. 38, pp. 1242--1262, 2020
Learning flat latent manifolds with VAEs
Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer and Patrick van der Smagt
International Conference on Machine Learning (ICML), 2020
Learning to fly via deep model-based reinforcement learning
Philip Becker-Ehmck, Maximilian Karl, Jan Peters and Patrick van der Smagt
arXiv preprint arXiv:2003.08876, 2020
Snakestrike: A low-cost open-source high-speed multi-camera motion capture system
Grady W Jensen, Patrick van der Smagt, Egon Heiss, Hans Straka and Tobias Kohl
Frontiers in Behavioral Neuroscience, vol. 14, pp. 116, 2020
2019 (15 publications)
Teaching a robot to see how it moves
Patrick van der Smagt
In: Neural Network Perspectives on Cognition and Adaptive Robotics, 2019
Unsupervised real-time control through variational empowerment
Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt and Justin Bayer
International Symposium of Robotics Research (ISRR), 2019
Approximate Bayesian inference in spatial environments
Atanas Mirchev, Baris Kayalibay, Maximilian Soelch, Patrick van der Smagt and Justin Bayer
Robotics: Science and Systems (RSS), 2019
Multi-source neural variational inference
Richard Kurle, Stephan Günnemann and Patrick van der Smagt
Conference on Artificial Intelligence (AAAI), 2019
Switching linear dynamics for variational Bayes filtering
Philip Becker-Ehmck, Jan Peters and Patrick van der Smagt
International Conference on Machine Learning (ICML), 2019
Fast approximate geodesics for deep generative models
Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer and Patrick van der Smagt
International Conference on Artificial Neural Networks (ICANN), 2019
Bayesian learning of neural network architectures
Georgi Dikov and Justin Bayer
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
On deep set learning and the choice of aggregations
Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt and Justin Bayer
International Conference on Artificial Neural Networks (ICANN), 2019
ORC – a lightweight, lightning-fast middleware
Felix Frank, Alexandros Paraschos and Patrick van der Smagt
IEEE International Conference on Robotic Computing (IRC), 2019
Learning hierarchical priors in VAEs
Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke and Patrick van der Smagt
Neural Information Processing Systems (NeurIPS), vol. 32, 2019
Early integration for movement modeling in latent spaces
Rachel Hornung, Nutan Chen and Patrick van der Smagt
In: The Handbook of Multimodal-Multisensor Interfaces, 2019
Increasing the generalisaton capacity of conditional VAEs
Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer and Patrick van der Smagt
International Conference on Artificial Neural Networks (ICANN), 2019
Variational tracking and prediction with generative disentangled state-space models
Adnan Akhundov, Maximilian Soelch, Justin Bayer and Patrick van der Smagt
arXiv preprint arXiv:1910.06205, 2019
Beta DVBF: Learning state-space models for control from high dimensional observations
Neha Das, Maximilian Karl, Philip Becker-Ehmck and Patrick van der Smagt
arXiv preprint arXiv:1911.00756, 2019
Continual learning with Bayesian neural networks for non-stationary data
Richard Kurle, Botond Cseke, Alexej Klushyn, Patrick van der Smagt and Stephan Günnemann
International Conference on Learning Representations (ICLR), 2019
2018 (4 publications)
Gaussian process neurons
Sebastian Urban and Patrick van der Smagt
2018
Metrics for deep generative models
Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer and Patrick Smagt
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
Navigation and planning in latent maps
Baris Kayalibay, Atanas Mirchev, Maximilian Soelch, Patrick van der Smagt and Justin Bayer
2018
Active learning based on data uncertainty and model sensitivity
Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid and Patrick van der Smagt
International Conference on Intelligent Robots and Systems (IROS), 2018
2017 (10 publications)
Deep variational Bayes filters: Unsupervised learning of state space models from raw data
Maximilian Karl, Maximilian Soelch, Justin Bayer and Patrick van der Smagt
International Conference on Learning Representations (ICLR), 2017
CNN-based segmentation of medical imaging data
Baris Kayalibay, Grady Jensen and Patrick van der Smagt
arXiv preprint arXiv:1701.03056, 2017
Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform
Egidio Falotico, Lorenzo Vannucci, Alessandro Ambrosano, Ugo Albanese, Stefan Ulbrich, Juan Camilo Vasquez Tieck, et al.
Frontiers in Neurorobotics, vol. 11, pp. 2, 2017
Key insights into hand biomechanics: human grip stiffness can be decoupled from force by cocontraction and predicted from electromyography
Hannes Höppner, Maximilian Grosse-Dunker, Georg Stillfried, Justin Bayer and Patrick van der Smagt
Frontiers in Neurorobotics, vol. 11, pp. 17, 2017
Two-stream RNN/CNN for action recognition in 3D videos
Rui Zhao, Haider Ali and Patrick van der Smagt
International Conference on Intelligent Robots and Systems (IROS), 2017
Hitting the sweet spot: Automatic optimization of energy transfer during tool-held hits
Jörn Vogel, Naohiro Takemura, Hannes Höppner, Patrick van der Smagt and Gowrishankar Ganesh
International Conference on Robotics and Automation (ICRA), 2017
Design and evaluation of a haptic interface with octopod kinematics
Markus Kühne, Johannes Potzy, Roberto García-Rochín, Patrick van der Smagt and Angelika Peer
IEEE/ASME Transactions on Mechatronics, vol. 22, pp. 2091--2101, 2017
Automatic differentiation for tensor algebras
Sebastian Urban and Patrick van der Smagt
arXiv preprint arXiv:1711.01348, 2017
Gaussian process neurons learn stochastic activation functions
Sebastian Urban, Marcus Basalla and Patrick van der Smagt
arXiv preprint arXiv:1711.11059, 2017
SynEM, automated synapse detection for connectomics
Benedikt Staffler, Manuel Berning, Kevin M Boergens, Anjali Gour, Patrick van der Smagt and Moritz Helmstaedter
eLife, vol. 6, pp. e26414, 2017
2016 (12 publications)
Musculoskeletal robots: scalability in neural control
Christoph Richter, Soren Jentzsch, Rafael Hostettler, Jesus A Garrido, Eduardo Ros, Alois Knoll, et al.
IEEE Robotics & Automation Magazine, vol. 23, pp. 128--137, 2016
Variational inference for on-line anomaly detection in high-dimensional time series
Maximilian Sölch, Justin Bayer, Marvin Ludersdorfer and Patrick van der Smagt
International Conference on Learning Representations (ICLR), 2016
iEMG: Imaging electromyography
Holger Urbanek and Patrick van der Smagt
Journal of Electromyography and Kinesiology, vol. 27, pp. 1--9, 2016
A Differentiable Transition Between Additive and Multiplicative Neurons
Wiebke Köpp, Patrick van der Smagt and Sebastian Urban
arXiv preprint arXiv:1604.03736, 2016
ML-based tactile sensor calibration: A universal approach
Maximilian Karl, Artur Lohrer, Dhananjay Shah, Frederik Diehl, Max Fiedler, Saahil Ognawala, et al.
arXiv preprint arXiv:1606.06588, 2016
Unsupervised preprocessing for tactile data
Maximilian Karl, Justin Bayer and Patrick van der Smagt
arXiv preprint arXiv:1606.07312, 2016
Evaluation of joint type modelling in the human hand
Agneta Gustus and Patrick van der Smagt
Journal of Biomechanics, vol. 49, pp. 3097--3100, 2016
Neurorobotics: From vision to action
Patrick van der Smagt, Michael A Arbib and Giorgio Metta
Springer Handbook of Robotics, pp. 2069--2094, 2016
Stable reinforcement learning with autoencoders for tactile and visual data
Herke van Hoof, Nutan Chen, Maximilian Karl, Patrick van der Smagt and Jan Peters
International Conference on Intelligent Robots and Systems (IROS), 2016
Variational inference with Hamiltonian Monte Carlo
Christopher Wolf, Maximilian Karl and Patrick van der Smagt
arXiv preprint arXiv:1609.08203, 2016
Dynamic movement primitives in latent space of time-dependent variational autoencoders
Nutan Chen, Maximilian Karl and Patrick van der Smagt
International conference on humanoid robots (Humanoids), 2016
Boost online virtual network embedding: Using neural networks for admission control
Andreas Blenk, Patrick Kalmbach, Patrick van der Smagt and Wolfgang Kellerer
International Conference on Network and Service Management (CNSM), 2016
2015 (11 publications)
An assistive decision-and-control architecture for force-sensitive hand–arm systems driven by human–machine interfaces
Jörn Vogel, Sami Haddadin, Beata Jarosiewicz, John D Simeral, Daniel Bacher, Leigh R Hochberg, et al.
The International Journal of Robotics Research, vol. 34, pp. 763--780, 2015
Sensor calibration and hysteresis compensation with heteroscedastic Gaussian processes
Sebastian Urban, Marvin Ludersdorfer and Patrick van der Smagt
IEEE Sensors Journal, vol. 15, pp. 6498--6506, 2015
Fast adaptive weight noise
Justin Bayer, Maximilian Karl, Daniela Korhammer and Patrick van der Smagt
arXiv preprint arXiv:1507.05331, 2015
Measuring fingertip forces from camera images for random finger poses
Nutan Chen, Sebastian Urban, Justin Bayer and Patrick van der Smagt
International Conference on Intelligent Robots and Systems (IROS), 2015
Robust detection of anomalies via sparse methods
International Conference on Neural Information Processing (ICONIP), 2015
Two-dimensional orthoglide mechanism for revealing areflexive human arm mechanical properties
Hannes Höppner, Markus Grebenstein and Patrick van der Smagt
International Conference on Intelligent Robots and Systems (IROS), 2015
Efficient empowerment
Maximilian Karl, Justin Bayer and Patrick van der Smagt
arXiv preprint arXiv:1509.08455, 2015
Efficient movement representation by embedding dynamic movement primitives in deep autoencoders
Nutan Chen, Justin Bayer, Sebastian Urban and Patrick van der Smagt
International conference on humanoid robots (Humanoids), 2015
Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, et al.
International Conference on Computer Vision (ICCV), 2015
A neural transfer function for a smooth and differentiable transition between additive and multiplicative interactions
Sebastian Urban and Patrick van der Smagt
arXiv preprint arXiv:1503.05724, 2015
Real-time Cerebellar Control of a Compliant Robotic Arm
Christoph Richter, Sören Jentzsch, Florian Röhrbein, Patrick van der Smagt and Jörg Conradt
BCCN conference, 2015
2014 (6 publications)
MRI-based skeletal hand movement model
Georg Stillfried, Ulrich Hillenbrand, Marcus Settles and Patrick van der Smagt
In: Springer Tracts in Advanced Robotics, 2014
Continuous control of the DLR light-weight robot iii by a human with tetraplegia using the braingate2 neural interface system
Jörn Vogel, Sami Haddadin, John D Simeral, Sergey D Stavisky, Daniel Bacher, Leigh R Hochberg, et al.
International Symposium on Experimental Robotics (ISER), 2014
A new biarticular joint mechanism to extend stiffness ranges
Hannes Höppner, Wolfgang Wiedmeyer and Patrick van der Smagt
International Conference on Robotics and Automation (ICRA), 2014
Estimating finger grip force from an image of the hand using convolutional neural networks and Gaussian processes
Nutan Chen, Sebastian Urban, Christian Osendorfer, Justin Bayer and Patrick van der Smagt
International Conference on Robotics and Automation (ICRA), 2014
Model-free robot anomaly detection
Rachel Hornung, Holger Urbanek, Julian Klodmann, Christian Osendorfer and Patrick van der Smagt
International Conference on Intelligent Robots and Systems (IROS), 2014
Image super-resolution with fast approximate convolutional sparse coding
Christian Osendorfer, Hubert Soyer and Patrick van der Smagt
International Conference on Neural Information Processing (ICONIP), 2014
2013 (12 publications)
Minimizing data consumption with sequential online feature selection
Thomas Rückstiess, Christian Osendorfer and Patrick van der Smagt
International Journal of Machine Learning and Cybernetics, vol. 4, pp. 235--243, 2013
Relation between object properties and EMG during reaching to grasp
Nadine Fligge, Holger Urbanek and Patrick van der Smagt
Journal of Electromyography and Kinesiology, vol. 23, pp. 402--410, 2013
Identification of human limb stiffness in 5 DoF and estimation via EMG
Dominic Lakatos, Daniel Rüschen, Justin Bayer, Jörn Vogel and Patrick van der Smagt
International Symposium on Experimental Robotics (ISER), 2013
Unsupervised feature learning for low-level local image descriptors
Christian Osendorfer, Justin Bayer, Sebastian Urban and Patrick van der Smagt
International Conference on Learning Representations (ICLR), 2013
Evidence of muscle synergies during human grasping
Claudio Castellini and Patrick van der Smagt
Biological cybernetics, vol. 107, pp. 233--245, 2013
Convolutional neural networks learn compact local image descriptors
Christian Osendorfer, Justin Bayer, Sebastian Urban and Patrick van der Smagt
International Conference on Neural Information Processing (ICONIP), 2013
Robots driven by compliant actuators: Optimal control under actuation constraints
David J Braun, Florian Petit, Felix Huber, Sami Haddadin, Patrick van der Smagt, Alin Albu-Schäffer, et al.
IEEE Transactions on Robotics, vol. 29, pp. 1085--1101, 2013
Computing grip force and torque from finger nail images using Gaussian processes
Sebastian Urban, Justin Bayer, Christian Osendorfer, Göran Westling, Benoni B Edin and Patrick van der Smagt
International Conference on Intelligent Robots and Systems (IROS), 2013
Continuous robot control using surface electromyography of atrophic muscles
Jörn Vogel, Justin Bayer and Patrick van der Smagt
International Conference on Intelligent Robots and Systems (IROS), 2013
Training neural networks with implicit variance
Justin Bayer, Christian Osendorfer, Sebastian Urban and Patrick van der Smagt
International Conference on Neural Information Processing (ICONIP), 2013
On fast dropout and its applicability to recurrent networks
Justin Bayer, Christian Osendorfer, Daniela Korhammer, Nutan Chen, Sebastian Urban and Patrick van der Smagt
arXiv preprint arXiv:1311.0701, 2013
Task dependency of grip stiffness: A study of human grip force and grip stiffness dependency during two different tasks with same grip forces
Hannes Höppner, Joseph McIntyre and Patrick van der Smagt
PloS one, vol. 8, pp. e80889, 2013
2012 (10 publications)
Building the Ninapro database: A resource for the biorobotics community
Manfredo Atzori, Arjan Gijsberts, Simone Heynen, Anne-Gabrielle Mittaz Hager, Olivier Deriaz, Patrick van der Smagt, et al.
International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2012
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Leigh R Hochberg, Daniel Bacher, Beata Jarosiewicz, Nicolas Y Masse, John D Simeral, Joern Vogel, et al.
Nature, vol. 485, pp. 372--375, 2012
Learning sequence neighbourhood metrics
Justin Bayer, Christian Osendorfer and Patrick van der Smagt
International Conference on Artificial Neural Networks (ICANN), 2012
Optimal torque and stiffness control in compliantly actuated robots
David J Braun, Florian Petit, Felix Huber, Sami Haddadin, Patrick van der Smagt, Alin Albu-Schäffer, et al.
International Conference on Intelligent Robots and Systems (IROS), 2012
Minimum jerk for human catching movements in 3D
Nadine Fligge, Joseph McIntyre and Patrick van der Smagt
International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2012
Patient performance evaluation using Kinect and Monte Carlo-based finger tracking
Francesca Cordella, Francesco Di Corato, Loredana Zollo, Bruno Siciliano and Patrick van der Smagt
International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2012
Generating marker stars for 6D optical tracking
Dominikus Gierlach, Agneta Gustus and Patrick van der Smagt
International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2012
Human hand modelling: kinematics, dynamics, applications
Agneta Gustus, Georg Stillfried, Judith Visser, Henrik Jörntell and Patrick van der Smagt
Biological cybernetics, vol. 106, pp. 741--755, 2012
Foreword for the special issue on Multimodal and Sensorimotor Bionics
J Leo van Hemmen, Patrick van der Smagt and Barry E Stein
Biological cybernetics, vol. 106, pp. 615, 2012
Minimizing Data Consumption in Sequential Classification
Thomas Rückstiess, Christian Osendorfer and Patrick van der Smagt
International Journal of Machine Learning and Cybernetics, 2012
2011 (8 publications)
EMG-based teleoperation and manipulation with the DLR LWR-III
Jörn Vogel, Claudio Castellini and Patrick van der Smagt
International Conference on Intelligent Robots and Systems (IROS), 2011
The Grasp Perturbator: Calibrating human grasp stiffness during a graded force task
Hannes Höppner, Dominic Lakatos, Holger Urbanek, Claudio Castellini and Patrick van der Smagt
International Conference on Robotics and Automation (ICRA), 2011
Unsupervised learning of low-level audio features for music similarity estimation
Christian Osendorfer, Jan Schlüter, Jürgen Schmidhuber and Patrick van der Smagt
International Conference on Machine Learning (ICML), 2011
Sequential feature selection for classification
Thomas Rückstiess, Christian Osendorfer and Patrick van der Smagt
Advances in Artificial Intelligence, 2011
Preliminary evidence of dynamic muscular synergies in human grasping
Claudio Castellini and Patrick van der Smagt
International Conference on Advanced Robotics (ICAR), 2011
Bionik: Bionische Roboter
Jan Albiez, Christoph Ament, Ivo Boblan, Norbert Elkmann, Paolo Ferrara, Markus Fischer, et al.
VDI 6222, 2011
Conditioning vs. excitation time for estimating impedance parameters of the human arm
Dominic Lakatos, Florian Petit and Patrick van der Smagt
International conference on humanoid robots (Humanoids), 2011
Untitled
Patrick van der Smagt
In: Handfunktionsstörungen in der Neurologie: Klinik und Rehabilitation, 2011
2010 (4 publications)
The DLR touch sensor I: A flexible tactile sensor for robotic hands based on a crossed-wire approach
MW Strohmayr, Hannes P Saal, AH Potdar and Patrick van der Smagt
International Conference on Intelligent Robots and Systems (IROS), 2010
The arm-perturbator: design of a wearable perturbation device to measure limb impedance
Hannes Höppner, Dominic Lakatos, Holger Urbanek and Patrick van der Smagt
International Conference on Applied Bionics and Biomechanics (ICABB), 2010
Control of a robotic arm using intracortical motor signal by an individual with tetraplegia in the BrainGate2 trial
Jing Liu, John D Simeral, Sergey D Stavisky, Daniel Bacher, Joern Vogel, Sami Haddadin, et al.
Annual Meeting in Neuroscience (SFN), 2010
STIFF: Enhancing biomorphic agility through variable stiffness
Patrick van der Smagt, Frans van der Helm, Jürgen Schmidhuber, Sethu Vijayakumar and Joe McIntyre
International Conference on Cognitive Systems (CogSys), 2010
2009 (6 publications)
Surface EMG in advanced hand prosthetics
Claudio Castellini and Patrick van der Smagt
Biological Cybernetics, vol. 100, pp. 35--47, 2009
Robotics of human movements
Patrick van der Smagt, Markus Grebenstein, Holger Urbanek, Nadine Fligge, Michael Strohmayr, Georg Stillfried, et al.
Journal of Physiology–Paris, vol. 103, pp. 119--132, 2009
Anticipatory grip force control using a cerebellar model
JR De Gruijl, P van der Smagt and CI De Zeeuw
Neuroscience, vol. 162, pp. 777--786, 2009
Human arm impedance and EMG in 3D
Patrick van der Smagt, Claudio Castellini and Holger Urbanek
International Conference on Multimodal Interfaces for Skills Transfer (SKILLS), 2009
VIACTORS–-Variable Impedance Actuation systems embodying advanced interaction behaviors
Alin Albu-Schaeffer, Antonio Bicchi, Stefano Stramigioli, E Burdet, P Smagt, A Parravicini, et al.
European Future Technologies Conference, 2009
Human hand kinematics based on MRI imaging
Georg Stillfried and Patrick van der Smagt
Robotics: Science and Systems (RSS), 2009
2008 (6 publications)
Antagonism for a highly anthropomorphic hand–arm system
Markus Grebenstein and Patrick van der Smagt
Advanced Robotics, vol. 22, pp. 39--55, 2008
Surface EMG for force control of mechanical hands
Claudio Castellini, Patrick van der Smagt, Giulio Sandini and Gerd Hirzinger
International Conference on Robotics and Automation (ICRA), 2008
Surface EMG suffices to classify the motion of each finger independently
Sebastian Maier and Patrick van der Smagt
International Conference on Motion and Vibration Control (MOVIC), 2008
Human motion range data optimizes anthropomorphic robotic hand-arm system design
Heiko Panzer, Oliver Eiberger, Markus Grebenstein, Sebastian Wolf, Peter Schaefer and Patrick van der Smagt
International Conference on Motion and Vibration Control (MOVIC), 2008
Using MRT data to compute a hand kinematic model
Patrick van der Smagt and Georg Stillfried
International Conference on Motion and Vibration Control (MOVIC), 2008
Neurorobotics: From vision to action
Michael Arbib, Giorgio Metta and Patrick van der Smagt
In: Springer Handbook of Robotics, 2008
2006 (1 publications)
Learning EMG control of a robotic hand: towards active prostheses
Sebastian Bitzer and Patrick van der Smagt
International Conference on Robotics and Automation (ICRA), 2006
2004 (1 publications)
Learning from demonstration: repetitive movements for autonomous service robotics
Holger Urbanek, A Albu-Schaffer and Patrick van der Smagt
International Conference on Intelligent Robots and Systems (IROS), 2004
2002 (3 publications)
Searching a scalable approach to cerebellar based control
Jan Peters and Patrick van der Smagt
Applied intelligence, vol. 17, pp. 11--33, 2002
Guest Editorial for Special Issue on Scalable Applications of Neural Networks to Robotics
Patrick van der Smagt and Daniel Bullock
Applied Intelligence, vol. 17, pp. 7--10, 2002
Solving the ill-conditioning in neural network learning
Patrick van der Smagt and Gerd Hirzinger
In: Neural networks: tricks of the trade, 2002
2000 (2 publications)
Benchmarking cerebellar control
Patrick van der Smagt
Robotics and Autonomous Systems, vol. 32, pp. 237--251, 2000
The cerebellum as computed torque model
Patrick van der Smagt and Gerd Hirzinger
International Conference on Knowledge-Based Intelligent Engineering Systems (KES), 2000
1999 (1 publications)
An overview of cerebellar control
Patrick van der Smagt
IEE Workshop on Self-Learning Robots, 1999
1998 (3 publications)
Learning techniques in a dataglove based telemanipulation system for the DLR hand
Max Fischer, Patrick van der Smagt and Gerd Hirzinger
International Conference on Robotics and Automation (ICRA), 1998
Cerebellar control of robot arms
Patrick van der Smagt
Connection Science, vol. 10, pp. 301--320, 1998
Why feed-forward networks are in a bad shape
Patrick van der Smagt and Gerd Hirzinger
International Conference on Artificial Neural Networks (ICANN), 1998
1997 (4 publications)
Visual feedback in motion
Patrick van der Smagt and Frans Groen
In: Neural systems for robotics, 1997
Neural systems for robotics
Omid Omidvar and Patrick van der Smagt
Academic Press, 1997
Dynamic control in new robot structures: Can we learn nonlinear functions of high dimensionality?
Patrick van der Smagt
Neural Information Processing Systems (NIPS), 1997
Can artificial cerebellar models compete to control robots
P van der Smagt and D Bullock
Neural Information Processing Systems (NIPS), vol. 97, 1997
1996 (3 publications)
Analysis and control of a rubbertuator arm
Patrick van der Smagt, F Groen and Klaus Schulten
Biological Cybernetics, vol. 75, pp. 433--440, 1996
An introduction to neural networks
Ben Kröse and P van der Smagt
Universiteit van Amsterdam, 1996
A robot arm is neurally controlled using monocular feedback
P van der Smagt
IEE Colloquium on Self Learning Robots, 1996
1995 (8 publications)
A visually guided robot and a neural network join to grasp slanted objects
Patrick van der Smagt, Anuj Dev and Frans CA Groen
Neural Networks: Artificial Intelligence and Industrial Applications, 1995
Visual robot arm guidance using neural networks
Patrick van der Smagt
PhD thesis, 1995
Nested networks for robot control
Arjen Jansen, Patrick van der Smagt and Frans Groen
In: Applications of Neural Networks, 1995
Approximation with neural networks: Between local and global approximation
Patrick van der Smagt and Frans Groen
International Conference on Neural Networks (ICNN), 1995
A monocular robot arm can be neurally positioned
P van der Smagt, FCA Groen and BJA Kröse
International Conference on Intelligent Autonomous Systems (IAS), 1995
Using many-particle decomposition to get a parallel self-organising map
PPP van der Smagt and BJA Kröse
1995
Computer Systemen en Applicaties
Patrick van der Smagt
Universiteit van Amsterdam, 1995
A Visually Guided Robot and a Neural Network Join to Grasp Slanted Objects
FCA Groen, PPP van der Smagt and A Dev
In: Neural Networks: Artificial Intelligence and Industrial Applications, 1995
1994 (4 publications)
Minimisation methods for training feed-forward networks
Patrick van der Smagt
Neural Networks, vol. 7, pp. 1--11, 1994
Neural network control of a pneumatic robot arm
Ted Hesselroth, Kakali Sarkar, Patrick van der Smagt and Klaus Schulten
IEEE Transactions on Systems, Man and Cybernetics, vol. 24, pp. 28--38, 1994
Simderella: A robot simulator for neuro-controller design
Patrick van der Smagt
Neurocomputing, vol. 6, pp. 281--285, 1994
The locally linear nested network for robot manipulation
P van der Smagt, F Groen and F van het Groenewoud
World Congress on Computational Intelligence (WCCI), 1994
1993 (4 publications)
A one-eyed self learning robot manipulator
Ben JA Kröse, P Patrick van der Smagt and Frans CA Groen
Neural Networks in Robotics, pp. 19--28, 1993
Control of pneumatic robot arm dynamics by a neural network
Patrick van der Smagt and Klaus Schulten
World Congress on Neural Networks (WCNN), 1993
Neural Networks for Robot Eye-Hand Coordination
FCA Groen, BJA Kröse, PP van der Smagt, MGP Bartholomeus and AJ Noest
International Conference on Artificial Neural Networks (ICANN), 1993
Robotic hand-eye coordination using multi-resolution linear perceptron representation
P van der Smagt, F van het Groenewoud and F Groen
Groningen Student Conference on Computer Science, 1993
1992 (3 publications)
A Self-learning Controller For Monocular Grasping
P Patrick van der Smagt, Ben JA Kröse and Frans CA Groen
International Conference on Intelligent Robots and Systems (IROS), 1992
Interpolative robot control with the nested network approach
P van der Smagt, Arjen Jansen and Frans CA Groen
International Symposium on Intelligent Control (ISIC), 1992
High-precision robot control: The nested network
Arjen Jansen, P van der Smagt and F Groen
In: Applications of Neural Networks, 1992
1991 (1 publications)
A real-time learning neural robot controller
Patrick van der Smagt and J Krose
International Conference on Artificial Neural Networks (ICANN), 1991
1990 (1 publications)
A comparative study of neural network algorithms applied to optical character recognition
Patrick van der Smagt
International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE), 1990