argmax.ai

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Patrick van der Smagt - Publications

 Généré le 22 Janvier 2026 11:43

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Patrick van der Smagt - Publications

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

Mots-clefs

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publications der smagt learning conference vol patrick van neural international

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Mot-clef Contenu Titre Mots-clefs Description Niveaux de titre
van 175
der 169
smagt 169
patrick 157
conference 81

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Domaine : argmax.ai

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