Latest Research in Robotics
16 research papers · 2026 median publication year
Top Research Topics in Robotics
- Robotics — 3 papers
- Target Tracking and Data Fusion in Sensor Networks — 2 papers
- Systems and Control — 2 papers
- Machine Learning — 1 papers
- Advanced Adaptive Filtering Techniques — 1 papers
- Oceanographic and Atmospheric Processes — 1 papers
- Spacecraft Dynamics and Control — 1 papers
- Optimization and Control — 1 papers
- Distributed Control Multi-Agent Systems — 1 papers
- Computation — 1 papers
Highest-Cited Papers
- Unscented KalmanNet: Structure-Preserving Deep Learning with Calibrated Posterior Uncertainty under Incomplete Physics and Unknown Noise
- Bias‐Covariance Joint H‐Infinity Filtering With Strict Disturbance Attenuation Bounds
- Communication Outage-Resistant UUV State Estimation: A Variational History Distillation Approach
- Preliminary Application of Control Theory in Ocean Circulation Simulation: A Study of Ensemble Kalman Filter Data Assimilation Method
- Structural Controllability-Based Control-Oriented Modeling of Relative Orbits Considering Continuous Controllability
- A Recentered-Domain Yau-Yau Filter for Target Tracking
- Containment Control with Group Control Strategy for Multi-USV Systems in Narrow Waterways
- On the Identifiability of Aided Inertial Navigation Under Measurement Delays: A Geometric Approach
- Weighted Fusion Robust Steady‐State Estimators for Multi‐Sensor Networked Systems With One‐Step Random Delay, Fading Measurements and Multiple Packet Dropouts
- Maximum Likelihood and Bayesian Estimation for State-Space Models Using the Non-Gaussian Filter
- Design of a Sequential Filtering Method Fully Equivalent to the Centralized Filter with Cross-Correlated Noise
- An extended Perron-Frobenius operator filter for nonlinear state estimation
- Gaussian kernel extended state observer–based control for systems with uncertainties and noise
- Geometry-Consistent Bayesian Filtering under Structural Model Uncertainty: A Geometric Projection Particle Filter
- From Non-Rigid to Rigid: Safe Acquisition of Rigid Communication Graphs under Limited Sensing
- Change-Aware Self-Adaptive AI-Aided Kalman Filters With Neural Change Point Detection