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

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conference 81

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