Patrick van der Smagt

According to our database, Patrick van der Smagt authored at least 127 papers between 1990 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer.

Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt

IEEE Robotics Autom. Lett., June, 2024

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning.

Marvin Alles, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl

CoRR, 2024

Assistive AI for Augmenting Human Decision-making.

Natabara Máté Gyöngyössy, Bernát Török, Csilla Farkas, Laura Lucaj, Attila Menyhárd, Krisztina Menyhard-Balázs, András Simonyi, Patrick van der Smagt, Zsolt Zodi, András Lorincz

CoRR, 2024

LIMT: Language-Informed Multi-Task Visual World Models.

Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl, Nutan Chen

CoRR, 2024

The Shortcomings of Force-from-Motion in Robot Learning.

Elie Aljalbout, Felix Frank, Patrick van der Smagt, Alexandros Paraschos

CoRR, 2024

Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems.

Djalel Benbouzid, Christiane Plociennik, Laura Lucaj, Mihai Maftei, Iris Merget, Aljoscha Burchardt, Marc P. Hauer, Abdeldjallil Naceri, Patrick van der Smagt

CoRR, 2024

Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models.

Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl

CoRR, 2024

A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation.

Yin Li, Qi Chen, Kai Wang, Meige Li, Liping Si, Yingwei Guo, Yu Xiong, Qixing Wang, Yang Qin, Ling Xu, Patrick van der Smagt, Jun Tang, Nutan Chen

CoRR, 2024

Guided Decoding for Robot Motion Generation and Adaption.

Nutan Chen, Elie Aljalbout, Botond Cseke, Patrick van der Smagt

CoRR, 2024

Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis.

Yin Li, Yu Xiong, Wenxin Fan, Kai Wang, Qingqing Yu, Liping Si, Patrick van der Smagt, Jun Tang, Nutan Chen

CoRR, 2024

Accurate Kinematic Modeling using Autoencoders on Differentiable Joints.

Nikolas J. Wilhelm, Sami Haddadin, Rainer Burgkart, Patrick van der Smagt, Maximilian Karl

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Design and Implementation of a Robotic Testbench for Analyzing Pincer Grip Execution in Human Specimen Hands.

Nikolas J. Wilhelm, Claudio Glowalla, Sami Haddadin, Julian Schote, Hannes Höppner, Patrick van der Smagt, Maximilian Karl, Rainer Burgkart

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Guided Decoding for Robot On-line Motion Generation and Adaption.

Nutan Chen, Botond Cseke, Elie Aljalbout, Alexandros Paraschos, Marvin Alles, Patrick van der Smagt

Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

2023

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

Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Filter-Aware Model-Predictive Control.

Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer

Proceedings of the Learning for Dynamics and Control Conference, 2023

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

Elie Aljalbout, Maximilian Karl, Patrick van der Smagt

Proceedings of the Learning for Dynamics and Control Conference, 2023

AI Regulation Is (not) All You Need.

Laura Lucaj, Patrick van der Smagt, Djalel Benbouzid

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 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, Patrick van der Smagt, Djalel Benbouzid

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation.

Felix Frank, Alexandros Paraschos, Patrick van der Smagt, Botond Cseke

IEEE Trans. Robotics, 2022

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

Wolfgang E. Kerzendorf, Nutan Chen, Jack O'Brien, Johannes Buchner, Patrick van der Smagt

CoRR, 2022

Local distance preserving auto-encoders using Continuous k-Nearest Neighbours graphs.

Nutan Chen, Patrick van der Smagt, Botond Cseke

CoRR, 2022

Flat latent manifolds for music improvisation between human and machine.

Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna, Patrick van der Smagt

CoRR, 2022

Local Distance Preserving Auto-encoders using Continuous kNN Graphs.

Nutan Chen, Patrick van der Smagt, Botond Cseke

Proceedings of the Topological, 2022

Tracking and Planning with Spatial World Models.

Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer

Proceedings of the Learning for Dynamics and Control Conference, 2022

PRISM: Probabilistic Real-Time Inference in Spatial World Models.

Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer

Proceedings of the Conference on Robot Learning, 2022

2021

Layerwise learning for quantum neural networks.

Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib

Quantum Mach. Intell., 2021

An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation.

Thomas Dickmann, Nikolas J. Wilhelm, Claudio Glowalla, Sami Haddadin, Patrick van der Smagt, Rainer Burgkart

Frontiers Robotics AI, 2021

Latent Matters: Learning Deep State-Space Models.

Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke, Patrick van der Smagt

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF.

Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer

Proceedings of the 9th International Conference on Learning Representations, 2021

Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models.

Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images.

Nutan Chen, Göran Westling, Benoni B. Edin, Patrick van der Smagt

Robotica, 2020

When Machine Learning Implies Intelligence [Young Professionals].

Patrick van der Smagt

IEEE Robotics Autom. Mag., 2020

Dalek - a deep-learning emulator for TARDIS.

Wolfgang E. Kerzendorf, Christian Vogl, Johannes Buchner, Gabriella Contardo, Marc Williamson, Patrick van der Smagt

CoRR, 2020

Learning to Fly via Deep Model-Based Reinforcement Learning.

Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt

CoRR, 2020

Learning Flat Latent Manifolds with VAEs.

Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt

Proceedings of the 37th International Conference on Machine Learning, 2020

Continual Learning with Bayesian Neural Networks for Non-Stationary Data.

Richard Kurle, Botond Cseke, Alexej Klushyn, Patrick van der Smagt, Stephan Günnemann

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations.

Neha Das, Maximilian Karl, Philip Becker-Ehmck, Patrick van der Smagt

CoRR, 2019

Variational Tracking and Prediction with Generative Disentangled State-Space Models.

Adnan Akhundov, Maximilian Soelch, Justin Bayer, Patrick van der Smagt

CoRR, 2019

Bayesian Learning of Neural Network Architectures.

Georgi Dikov, Patrick van der Smagt, Justin Bayer

CoRR, 2019

Approximate Bayesian Inference in Spatial Environments.

Atanas Mirchev, Baris Kayalibay, Maximilian Soelch, Patrick van der Smagt, Justin Bayer

Proceedings of the Robotics: Science and Systems XV, 2019

Learning Hierarchical Priors in VAEs.

Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unsupervised Real-Time Control Through Variational Empowerment.

Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt, Justin Bayer

Proceedings of the Robotics Research, 2019

ORC - A Lightweight, Lightning-Fast Middleware.

Felix Frank, Alexandros Paraschos, Patrick van der Smagt

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Switching Linear Dynamics for Variational Bayes Filtering.

Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt

Proceedings of the 36th International Conference on Machine Learning, 2019

On Deep Set Learning and the Choice of Aggregations.

Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Increasing the Generalisaton Capacity of Conditional VAEs.

Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Fast Approximate Geodesics for Deep Generative Models.

Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Multi-Source Neural Variational Inference.

Richard Kurle, Stephan Günnemann, Patrick van der Smagt

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Early integration for movement modeling in latent spaces.

Rachel Hornung, Nutan Chen, Patrick van der Smagt

Proceedings of the Handbook of Multimodal-Multisensor Interfaces: Language Processing, Software, Commercialization, and Emerging Directions, 2019

2018

Approximate Bayesian inference in spatial environments.

Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer

CoRR, 2018

Active Learning based on Data Uncertainty and Model Sensitivity.

Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Metrics for Deep Generative Models.

Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

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, Patrick van der Smagt

Frontiers Neurorobotics, 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, Georg Hinkel, Jacques Kaiser, Igor Peric, Oliver Denninger, Nino Cauli, Murat Kirtay, Arne Roennau, Gudrun Klinker, Axel von Arnim, Luc Guyot, Daniel Peppicelli, Pablo Martínez-Cañada, Eduardo Ros, Patrick Maier, Sandro Weber, Manuel Hubert, David A. Plecher, Florian Röhrbein, Stefan Deser, Alina Roitberg, Patrick van der Smagt, Rüdiger Dillmann, Paul Levi, Cecilia Laschi, Alois C. Knoll, Marc-Oliver Gewaltig

Frontiers Neurorobotics, 2017

Gaussian Process Neurons Learn Stochastic Activation Functions.

Sebastian Urban, Marcus Basalla, Patrick van der Smagt

CoRR, 2017

Automatic Differentiation for Tensor Algebras.

Sebastian Urban, Patrick van der Smagt

CoRR, 2017

CNN-based Segmentation of Medical Imaging Data.

Baris Kayalibay, Grady Jensen, Patrick van der Smagt

CoRR, 2017

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

Rui Zhao, Haider Ali, Patrick van der Smagt

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

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

Jörn Vogel, Naohiro Takemura, Hannes Höppner, Patrick van der Smagt, Gowrishankar Ganesh

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data.

Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Neurorobotics: From Vision to Action.

Patrick van der Smagt, Michael A. Arbib, Giorgio Metta

Proceedings of the Springer Handbook of Robotics, 2016

Musculoskeletal Robots: Scalability in Neural Control.

Christoph Richter, Soren Jentzsch, Rafael Hostettler, Jesús Alberto Garrido, Eduardo Ros, Alois C. Knoll, Florian Röhrbein, Patrick van der Smagt, Jörg Conradt

IEEE Robotics Autom. Mag., 2016

Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series.

Maximilian Soelch, Justin Bayer, Marvin Ludersdorfer, Patrick van der Smagt

CoRR, 2016

Scalability in Neural Control of Musculoskeletal Robots.

Christoph Richter, Sören Jentzsch, Rafael Hostettler, Jesús Alberto Garrido, Eduardo Ros, Alois C. Knoll, Florian Röhrbein, Patrick van der Smagt, Jörg Conradt

CoRR, 2016

A Differentiable Transition Between Additive and Multiplicative Neurons.

Wiebke Köpp, Patrick van der Smagt, Sebastian Urban

CoRR, 2016

ML-based tactile sensor calibration: A universal approach.

Maximilian Karl, Artur Lohrer, Dhananjay Shah, Frederik Diehl, Max Fiedler, Saahil Ognawala, Justin Bayer, Patrick van der Smagt

CoRR, 2016

Unsupervised preprocessing for Tactile Data.

Maximilian Karl, Justin Bayer, Patrick van der Smagt

CoRR, 2016

Stable reinforcement learning with autoencoders for tactile and visual data.

Herke van Hoof, Nutan Chen, Maximilian Karl, Patrick van der Smagt, Jan Peters

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

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

Nutan Chen, Maximilian Karl, Patrick van der Smagt

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

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

Andreas Blenk, Patrick Kalmbach, Patrick van der Smagt, Wolfgang Kellerer

Proceedings of the 12th International Conference on Network and Service Management, 2016

2015

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, John P. Donoghue, Patrick van der Smagt

Int. J. Robotics Res., 2015

A Neural Transfer Function for a Smooth and Differentiable Transition Between Additive and Multiplicative Interactions.

Sebastian Urban, Patrick van der Smagt

CoRR, 2015

Efficient Empowerment.

Maximilian Karl, Justin Bayer, Patrick van der Smagt

CoRR, 2015

Fast Adaptive Weight Noise.

Justin Bayer, Maximilian Karl, Daniela Korhammer, Patrick van der Smagt

CoRR, 2015

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

Hannes Höppner, Markus Grebenstein, Patrick van der Smagt

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Measuring fingertip forces from camera images for random finger poses.

Nutan Chen, Sebastian Urban, Justin Bayer, Patrick van der Smagt

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Robust Detection of Anomalies via Sparse Methods.

Zoltán Ádám Milacski, Marvin Ludersdorfer, András Lörincz, Patrick van der Smagt

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

FlowNet: Learning Optical Flow with Convolutional Networks.

Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders.

Nutan Chen, Justin Bayer, Sebastian Urban, Patrick van der Smagt

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014

MRI-Based Skeletal Hand Movement Model.

Georg Stillfried, Ulrich Hillenbrand, Marcus Settles, Patrick van der Smagt

Proceedings of the Human Hand as an Inspiration for Robot Hand Development, 2014

On Fast Dropout and its Applicability to Recurrent Networks.

Justin Bayer, Christian Osendorfer, Nutan Chen, Sebastian Urban, Patrick van der Smagt

Proceedings of the 2nd International Conference on Learning Representations, 2014

Model-free robot anomaly detection.

Rachel Hornung, Holger Urbanek, Julian Klodmann, Christian Osendorfer, Patrick van der Smagt

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

A new biarticular joint mechanism to extend stiffness ranges.

Hannes Höppner, Wolfgang Wiedmeyer, Patrick van der Smagt

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 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, Patrick van der Smagt

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Image Super-Resolution with Fast Approximate Convolutional Sparse Coding.

Christian Osendorfer, Hubert Soyer, Patrick van der Smagt

Proceedings of the Neural Information Processing - 21st International Conference, 2014

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, Sethu Vijayakumar

IEEE Trans. Robotics, 2013

Minimizing data consumption with sequential online feature selection.

Thomas Rückstieß, Christian Osendorfer, Patrick van der Smagt

Int. J. Mach. Learn. Cybern., 2013

Convolutional Neural Networks learn compact local image descriptors

Christian Osendorfer, Justin Bayer, Patrick van der Smagt

CoRR, 2013

Unsupervised Feature Learning for low-level Local Image Descriptors

Christian Osendorfer, Justin Bayer, Patrick van der Smagt

Proceedings of the 1st International Conference on Learning Representations, 2013

Evidence of muscle synergies during human grasping.

Claudio Castellini, Patrick van der Smagt

Biol. Cybern., 2013

Continuous robot control using surface electromyography of atrophic muscles.

Jörn Vogel, Justin Bayer, Patrick van der Smagt

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Computing grip force and torque from finger nail images using Gaussian processes.

Sebastian Urban, Justin Bayer, Christian Osendorfer, Göran Westling, Benoni B. Edin, Patrick van der Smagt

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Convolutional Neural Networks Learn Compact Local Image Descriptors.

Christian Osendorfer, Justin Bayer, Sebastian Urban, Patrick van der Smagt

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Training Neural Networks with Implicit Variance.

Justin Bayer, Christian Osendorfer, Sebastian Urban, Patrick van der Smagt

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Solving the Ill-Conditioning in Neural Network Learning.

Patrick van der Smagt, Gerd Hirzinger

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Foreword for the special issue on Multimodal and Sensorimotor Bionics.

J. Leo van Hemmen, Patrick van der Smagt, Barry E. Stein

Biol. Cybern., 2012

Human hand modelling: kinematics, dynamics, applications.

Agneta Gustus, Georg Stillfried, Judith Visser, Henrik Jörntell, Patrick van der Smagt

Biol. Cybern., 2012

Identification of Human Limb Stiffness in 5 DoF and Estimation via EMG.

Dominic Lakatos, Daniel Rüschen, Justin Bayer, Jörn Vogel, Patrick van der Smagt

Proceedings of the Experimental Robotics, 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, Sethu Vijayakumar

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Learning Sequence Neighbourhood Metrics.

Justin Bayer, Christian Osendorfer, Patrick van der Smagt

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

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

Jörn Vogel, Claudio Castellini, Patrick van der Smagt

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

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

Hannes Höppner, Dominic Lakatos, Holger Urbanek, Claudio Castellini, Patrick van der Smagt

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Preliminary evidence of dynamic muscular synergies in human grasping.

Claudio Castellini, Patrick van der Smagt

Proceedings of the 15th International Conference on Advanced Robotics: New Boundaries for Robotics, 2011

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

Dominic Lakatos, Florian Petit, Patrick van der Smagt

Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

Sequential Feature Selection for Classification.

Thomas Rückstieß, Christian Osendorfer, Patrick van der Smagt

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010

Continuous Control of the DLR Light-Weight Robot III by a Human with Tetraplegia Using the BrainGate2 Neural Interface System.

Joern Vogel, Sami Haddadin, John D. Simeral, Sergey D. Stavisky, Daniel Bacher, Leigh R. Hochberg, John P. Donoghue, Patrick van der Smagt

Proceedings of the Experimental Robotics, 2010

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

Michael Strohmayr, Hannes P. Saal, Abhijit Potdar, Patrick van der Smagt

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009

Surface EMG in advanced hand prosthetics.

Claudio Castellini, Patrick van der Smagt

Biol. Cybern., 2009

2008

Neurorobotics: From Vision to Action.

Michael A. Arbib, Giorgio Metta, Patrick van der Smagt

Proceedings of the Springer Handbook of Robotics, 2008

Antagonism for a Highly Anthropomorphic Hand-Arm System.

Markus Grebenstein, Patrick van der Smagt

Adv. Robotics, 2008

Surface EMG for force control of mechanical hands.

Claudio Castellini, Patrick van der Smagt, Giulio Sandini, Gerd Hirzinger

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2006

Learning EMG Control of a Robotic Hand: Towards Active Prostheses.

Sebastian Bitzer, Patrick van der Smagt

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2004

Learning from demonstration: repetitive movements for autonomous service robotics.

Holger Urbanek, Alin Albu-Schäffer, Patrick van der Smagt

Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

2002

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

Patrick van der Smagt, Daniel Bullock

Appl. Intell., 2002

Searching a Scalable Approach to Cerebellar Based Control.

Jan Peters, Patrick van der Smagt

Appl. Intell., 2002

2000

Benchmarking cerebellar control.

Patrick van der Smagt

Robotics Auton. Syst., 2000

The cerebellum as computed torque model.

Patrick van der Smagt, Gerd Hirzinger

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

1998

Cerebellar Control of Robot Arms.

Patrick van der Smagt

Connect. Sci., 1998

Learning Techniques in a Dataglove Based Telemanipulation System for the DLR Hand.

Max Fischer, Patrick van der Smagt, Gerd Hirzinger

Proceedings of the IEEE International Conference on Robotics and Automation, 1998

1996

Analysis and control of a rubbertuator arm.

Patrick van der Smagt, Frans C. A. Groen, Klaus Schulten

Biol. Cybern., 1996

Solving the Ill-Conditioning in Neural Network Learning.

Patrick van der Smagt, Gerd Hirzinger

Proceedings of the Neural Networks: Tricks of the Trade, 1996

1995

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

Patrick van der Smagt, Anuj Dev, Frans C. A. Groen

Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

Approximation with neural networks: between local and global approximation.

Patrick van der Smagt, Frans C. A. Groen

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994

Neural Network Control of a Pneumatic Robot Arm.

Ted Hesselroth, Kakali Sarkar, P. Patrick van der Smagt, Klaus Schulten

IEEE Trans. Syst. Man Cybern. Syst., 1994

Minimisation methods for training feedforward neural networks.

P. Patrick van der Smagt

Neural Networks, 1994

1992

A Self-learning Controller For Monocular Grasping.

P. Patrick van der Smagt, Ben J. A. Kröse, Frans C. A. Groen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 1992

1990

A Comparative Study of Neural Network Algorithms Applied to Optical Character Recognition.

P. Patrick van der Smagt

Proceedings of the Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1990, July 15-18, 1990, The Mills House Hotel, Charleston, SC, USA, 1990