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Patrick van der Smagt - Publications

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Patrick van der Smagt - Publications

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

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neural publications smagt vol international patrick learning van der conference

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van 175
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smagt 169
patrick 157
conference 81

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