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Patrick van der Smagt - Publications

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Patrick van der Smagt - Publications

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Anchor Type Juice
Overcoming Knowledge Barriers: Online Imitation Learning from Visual Observation with Pretrained World Models External Passing Juice
LIMT: Language-Informed Multi-Task Visual World Models External Passing Juice
TechOps: Technical Documentation Templates for the AI Act External Passing Juice
FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning External Passing Juice
Latent Action World Models for Control with Unlabeled Trajectories External Passing Juice
Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters External Passing Juice
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models External Passing Juice
1991T-Like Type Ia supernovae as an extension of the normal population External Passing Juice
On the role of the action space in robot manipulation learning and sim-to-real transfer External Passing Juice
Scalable stellar evolution forecasting External Passing Juice
Guided Decoding for Robot On-line Motion Generation and Adaption External Passing Juice
A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation External Passing Juice
Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models External Passing Juice
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems External Passing Juice
Introducing Finite Element Method Integrated Networks (FEMIN) External Passing Juice
The Shortcomings of Force-from-Motion in Robot Learning External Passing Juice
Human short-latency reflexes show precise short-term gain adaptation after prior motion External Passing Juice
PRISM: Probabilistic Real-Time Inference in Spatial World Models External Passing Juice
CLAS: Coordinating multi-robot manipulation with central latent action spaces External Passing Juice
Filter-Aware Model-Predictive Control External Passing Juice
AI regulation is (not) all you need External Passing Juice
A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context External Passing Juice
Chronic Multi-Electrode Electromyography in Snakes External Passing Juice
Tracking and planning with spatial world models External Passing Juice
New mass estimates for massive binary systems: a probabilistic approach using polarimetric radiative transfer External Passing Juice
Flat latent manifolds for music improvisation between human and machine External Passing Juice
Probabilistic Dalek–-Emulator framework with probabilistic prediction for supernova tomography External Passing Juice
Local distance preserving auto-encoders using continuous knn graphs External Passing Juice
Variational state-space models for localisation and dense 3D mapping in 6 DoF External Passing Juice
Layerwise learning for quantum neural networks External Passing Juice
Dalek: A Deep Learning Emulator for TARDIS External Passing Juice
Mind the gap when conditioning amortised inference in sequential latent-variable models External Passing Juice
Constrained probabilistic movement primitives for robot trajectory adaptation External Passing Juice
Less Suboptimal Learning and Control in Variational POMDPs External Passing Juice
Probabilistic reconstruction of type Ia supernova SN 2002bo External Passing Juice
Exploration via empowerment gain: Combining novelty, surprise and learning progress External Passing Juice
An adaptive mechatronic exoskeleton for force-controlled finger rehabilitation External Passing Juice
Latent matters: Learning deep state-space models External Passing Juice
Estimating fingertip forces, torques, and local curvatures from fingernail images External Passing Juice
Learning flat latent manifolds with VAEs External Passing Juice
Learning to fly via deep model-based reinforcement learning External Passing Juice
Snakestrike: A low-cost open-source high-speed multi-camera motion capture system External Passing Juice
Teaching a robot to see how it moves External Passing Juice
Unsupervised real-time control through variational empowerment External Passing Juice
Approximate Bayesian inference in spatial environments External Passing Juice
Multi-source neural variational inference External Passing Juice
Switching linear dynamics for variational Bayes filtering External Passing Juice
Fast approximate geodesics for deep generative models External Passing Juice
Bayesian learning of neural network architectures External Passing Juice
On deep set learning and the choice of aggregations External Passing Juice
ORC – a lightweight, lightning-fast middleware External Passing Juice
Learning hierarchical priors in VAEs External Passing Juice
Early integration for movement modeling in latent spaces External Passing Juice
Increasing the generalisaton capacity of conditional VAEs External Passing Juice
Variational tracking and prediction with generative disentangled state-space models External Passing Juice
Beta DVBF: Learning state-space models for control from high dimensional observations External Passing Juice
Continual learning with Bayesian neural networks for non-stationary data External Passing Juice
Gaussian process neurons External Passing Juice
Metrics for deep generative models External Passing Juice
Navigation and planning in latent maps External Passing Juice
Active learning based on data uncertainty and model sensitivity External Passing Juice
Deep variational Bayes filters: Unsupervised learning of state space models from raw data External Passing Juice
CNN-based segmentation of medical imaging data External Passing Juice
Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform External Passing Juice
Key insights into hand biomechanics: human grip stiffness can be decoupled from force by cocontraction and predicted from electromyography External Passing Juice
Two-stream RNN/CNN for action recognition in 3D videos External Passing Juice
Hitting the sweet spot: Automatic optimization of energy transfer during tool-held hits External Passing Juice
Design and evaluation of a haptic interface with octopod kinematics External Passing Juice
Automatic differentiation for tensor algebras External Passing Juice
Gaussian process neurons learn stochastic activation functions External Passing Juice
SynEM, automated synapse detection for connectomics External Passing Juice
Musculoskeletal robots: scalability in neural control External Passing Juice
Variational inference for on-line anomaly detection in high-dimensional time series External Passing Juice
iEMG: Imaging electromyography External Passing Juice
A Differentiable Transition Between Additive and Multiplicative Neurons External Passing Juice
ML-based tactile sensor calibration: A universal approach External Passing Juice
Unsupervised preprocessing for tactile data External Passing Juice
Evaluation of joint type modelling in the human hand External Passing Juice
Neurorobotics: From vision to action External Passing Juice
Stable reinforcement learning with autoencoders for tactile and visual data External Passing Juice
Variational inference with Hamiltonian Monte Carlo External Passing Juice
Dynamic movement primitives in latent space of time-dependent variational autoencoders External Passing Juice
Boost online virtual network embedding: Using neural networks for admission control External Passing Juice
An assistive decision-and-control architecture for force-sensitive hand–arm systems driven by human–machine interfaces External Passing Juice
Sensor calibration and hysteresis compensation with heteroscedastic Gaussian processes External Passing Juice
Fast adaptive weight noise External Passing Juice
Measuring fingertip forces from camera images for random finger poses External Passing Juice
Robust detection of anomalies via sparse methods External Passing Juice
Two-dimensional orthoglide mechanism for revealing areflexive human arm mechanical properties External Passing Juice
Efficient empowerment External Passing Juice
Efficient movement representation by embedding dynamic movement primitives in deep autoencoders External Passing Juice
Flownet: Learning optical flow with convolutional networks External Passing Juice
A neural transfer function for a smooth and differentiable transition between additive and multiplicative interactions External Passing Juice
Real-time Cerebellar Control of a Compliant Robotic Arm External Passing Juice
MRI-based skeletal hand movement model External Passing Juice
Continuous control of the DLR light-weight robot iii by a human with tetraplegia using the braingate2 neural interface system External Passing Juice
A new biarticular joint mechanism to extend stiffness ranges External Passing Juice
Estimating finger grip force from an image of the hand using convolutional neural networks and Gaussian processes External Passing Juice
Model-free robot anomaly detection External Passing Juice
Image super-resolution with fast approximate convolutional sparse coding External Passing Juice
Minimizing data consumption with sequential online feature selection External Passing Juice
Relation between object properties and EMG during reaching to grasp External Passing Juice
Identification of human limb stiffness in 5 DoF and estimation via EMG External Passing Juice
Unsupervised feature learning for low-level local image descriptors External Passing Juice
Evidence of muscle synergies during human grasping External Passing Juice
Convolutional neural networks learn compact local image descriptors External Passing Juice
Robots driven by compliant actuators: Optimal control under actuation constraints External Passing Juice
Computing grip force and torque from finger nail images using Gaussian processes External Passing Juice
Continuous robot control using surface electromyography of atrophic muscles External Passing Juice
Training neural networks with implicit variance External Passing Juice
On fast dropout and its applicability to recurrent networks External Passing Juice
Task dependency of grip stiffness: A study of human grip force and grip stiffness dependency during two different tasks with same grip forces External Passing Juice
Building the Ninapro database: A resource for the biorobotics community External Passing Juice
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm External Passing Juice
Learning sequence neighbourhood metrics External Passing Juice
Optimal torque and stiffness control in compliantly actuated robots External Passing Juice
Minimum jerk for human catching movements in 3D External Passing Juice
Patient performance evaluation using Kinect and Monte Carlo-based finger tracking External Passing Juice
Generating marker stars for 6D optical tracking External Passing Juice
Human hand modelling: kinematics, dynamics, applications External Passing Juice
Foreword for the special issue on Multimodal and Sensorimotor Bionics External Passing Juice
Minimizing Data Consumption in Sequential Classification External Passing Juice
EMG-based teleoperation and manipulation with the DLR LWR-III External Passing Juice
The Grasp Perturbator: Calibrating human grasp stiffness during a graded force task External Passing Juice
Unsupervised learning of low-level audio features for music similarity estimation External Passing Juice
Sequential feature selection for classification External Passing Juice
Preliminary evidence of dynamic muscular synergies in human grasping External Passing Juice
Bionik: Bionische Roboter External Passing Juice
Conditioning vs. excitation time for estimating impedance parameters of the human arm External Passing Juice
Untitled External Passing Juice
The DLR touch sensor I: A flexible tactile sensor for robotic hands based on a crossed-wire approach External Passing Juice
The arm-perturbator: design of a wearable perturbation device to measure limb impedance External Passing Juice
Control of a robotic arm using intracortical motor signal by an individual with tetraplegia in the BrainGate2 trial External Passing Juice
STIFF: Enhancing biomorphic agility through variable stiffness External Passing Juice
Surface EMG in advanced hand prosthetics External Passing Juice
Robotics of human movements External Passing Juice
Anticipatory grip force control using a cerebellar model External Passing Juice
Human arm impedance and EMG in 3D External Passing Juice
VIACTORS–-Variable Impedance Actuation systems embodying advanced interaction behaviors External Passing Juice
Human hand kinematics based on MRI imaging External Passing Juice
Antagonism for a highly anthropomorphic hand–arm system External Passing Juice
Surface EMG for force control of mechanical hands External Passing Juice
Surface EMG suffices to classify the motion of each finger independently External Passing Juice
Human motion range data optimizes anthropomorphic robotic hand-arm system design External Passing Juice
Using MRT data to compute a hand kinematic model External Passing Juice
Neurorobotics: From vision to action External Passing Juice
Learning EMG control of a robotic hand: towards active prostheses External Passing Juice
Learning from demonstration: repetitive movements for autonomous service robotics External Passing Juice
Searching a scalable approach to cerebellar based control External Passing Juice
Guest Editorial for Special Issue on Scalable Applications of Neural Networks to Robotics External Passing Juice
Solving the ill-conditioning in neural network learning External Passing Juice
Benchmarking cerebellar control External Passing Juice
The cerebellum as computed torque model External Passing Juice
An overview of cerebellar control External Passing Juice
Learning techniques in a dataglove based telemanipulation system for the DLR hand External Passing Juice
Cerebellar control of robot arms External Passing Juice
Why feed-forward networks are in a bad shape External Passing Juice
Visual feedback in motion External Passing Juice
Neural systems for robotics External Passing Juice
Dynamic control in new robot structures: Can we learn nonlinear functions of high dimensionality? External Passing Juice
Can artificial cerebellar models compete to control robots External Passing Juice
Analysis and control of a rubbertuator arm External Passing Juice
An introduction to neural networks External Passing Juice
A robot arm is neurally controlled using monocular feedback External Passing Juice
A visually guided robot and a neural network join to grasp slanted objects External Passing Juice
Visual robot arm guidance using neural networks External Passing Juice
Nested networks for robot control External Passing Juice
Approximation with neural networks: Between local and global approximation External Passing Juice
A monocular robot arm can be neurally positioned External Passing Juice
Using many-particle decomposition to get a parallel self-organising map External Passing Juice
Computer Systemen en Applicaties External Passing Juice
A Visually Guided Robot and a Neural Network Join to Grasp Slanted Objects External Passing Juice
Minimisation methods for training feed-forward networks External Passing Juice
Neural network control of a pneumatic robot arm External Passing Juice
Simderella: A robot simulator for neuro-controller design External Passing Juice
The locally linear nested network for robot manipulation External Passing Juice
A one-eyed self learning robot manipulator External Passing Juice
Control of pneumatic robot arm dynamics by a neural network External Passing Juice
Neural Networks for Robot Eye-Hand Coordination External Passing Juice
Robotic hand-eye coordination using multi-resolution linear perceptron representation External Passing Juice
A Self-learning Controller For Monocular Grasping External Passing Juice
Interpolative robot control with the nested network approach External Passing Juice
High-precision robot control: The nested network External Passing Juice
A real-time learning neural robot controller External Passing Juice
A comparative study of neural network algorithms applied to optical character recognition External Passing Juice

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publications patrick der conference international vol learning smagt van neural

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van 175
der 169
smagt 169
patrick 157
conference 81

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