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Patrick van der Smagt - Publications

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Patrick van der Smagt - Publications

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

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international neural patrick der conference learning publications vol van smagt

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der 169
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patrick 157
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