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Patrick van der Smagt - Publications

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Patrick van der Smagt - Publications

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

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smagt 169
patrick 157
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