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State Estimation

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Showing 701–750 of 1067 papers

TitleStatusHype
Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators—0
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning—0
Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking—0
Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects—0
Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling—0
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation—0
Self-Tuning State Estimation for Adaptive Truss Structures Using Strain Gauges and Camera-Based Position Measurements—0
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach—0
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing—0
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing—0
Sensor Fusion Methods for Gaussian Mixture Models—0
Sensor network design for post-combustion CO2 capture plants: economy, complexity and robustness—0
Sensor Scheduling Design for Complex Networks under a Distributed State Estimation Framework—0
Sensor Selection for Remote State Estimation with QoS Requirement Constraints—0
Sequence-to-Sequence Forecasting-aided State Estimation for Power Systems—0
Sequential Monte Carlo Methods for System Identification—0
Set-based state estimation and fault diagnosis using constrained zonotopes and applications—0
Set-based state estimation of nonlinear discrete-time systems using constrained zonotopes and polyhedral relaxations—0
Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty—0
Set-Theoretic Direct Data-driven Predictive Control—0
Set-valued State Estimation for Nonlinear Systems Using Hybrid Zonotopes—0
Simple Sensor Intentions for Exploration—0
Twin-in-the-loop state estimation for vehicle dynamics control: theory and experiments—0
Simultaneous Input and State Estimation under Output Quantization: A Gaussian Mixture approach—0
Simultaneous Latent State Estimation and Latent Linear Dynamics Discovery from Image Observations—0
Single-preparation unsupervised quantum machine learning: concepts and applications—0
Smart Meters Integration in Distribution System State Estimation with Collaborative Filtering and Deep Gaussian Process—0
SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis—0
SM/VIO: Robust Underwater State Estimation Switching Between Model-based and Visual Inertial Odometry—0
Sparse Spectrahedral Shadows for State Estimation and Reachability Analysis: Set Operations, Validations and Order Reductions—0
Spatial-Temporal Attention Model for Traffic State Estimation with Sparse Internet of Vehicles—0
Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors—0
Spike-Kal: A Spiking Neuron Network Assisted Kalman Filter—0
Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes—0
Stabilization control of networked mobile robot using past observation-based preditive filter—0
State and Input Constrained Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems—0
State and parameter estimation for model-based retinal laser treatment—0
State Estimation-Based Robust Optimal Control of Influenza Epidemics in an Interactive Human Society—0
State estimation for a class of nonlinear time-varying uncertain system under multiharmonic disturbance—0
State Estimation for Future Energy Grids—0
State estimation for gas purity monitoring and control in water electrolysis systems—0
State Estimation for Linear Systems with Quadratic Outputs—0
State estimation for parallel-connected batteries via inverse dynamic modeling—0
State Estimation in Unobservable Power Systems via Graph Signal Processing Tools—0
State Estimation in Visual Inertial Autonomous Helicopter Landing Using Optimisation on Manifold—0
State estimation of a carbon capture process through POD model reduction and neural network approximation—0
State estimation of an electrochemical lithium-ion battery model: improved observer performance by hybrid redesign—0
State Estimation of Continuous-time Dynamical Systems with Uncertain Inputs with Bounded Variation: Entropy, Bit Rates, and Relation with Switched Systems—0
State Estimation of Power Flows for Smart Grids via Belief Propagation—0
State estimation of urban air pollution with statistical, physical, and super-learning graph models—0
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