Geometric Formulation of Unified Force-Impedance Control on SE(3) for Robotic Manipulators.

SE(3)-Equivariant Robot Learning and Control: A Tutorial Survey.

Differentiable Moving Horizon Estimation for Vehicle Kinematics via Learning Covariance Matrices.

Autonomous Robot Racing Competitions: Truly Multivehicle Autonomous Racing Competitions [Competitions].

Contact-Rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control.

AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction.

Human Motion Prediction: Assessing Direct and Geometry-Aware Approaches in 3D Space.

Explainable deep learning-based clinical decision support engine for MRI-based automated diagnosis of temporomandibular joint anterior disk displacement.

Suspension Control Strategies Using Switched Soft Actor-Critic Models for Real Roads.

Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations.

Clustering Techniques for Stable Linear Dynamical Systems with applications to Hard Disk Drives.

Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning.

Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation.

Robot Manipulation Task Learning by Leveraging SE(3) Group Invariance and Equivariance.

Integration and Evaluation of an Immersive Virtual Platform.

Nonaffine Helicopter Control Design and Implementation Based on a Robust Explicit Nonlinear Model Predictive Control.

Safety-Critical Control With Nonaffine Control Inputs Via a Relaxed Control Barrier Function for an Autonomous Vehicle.

Hierarchical Primitive Composition: Simultaneous Activation of Skills With Inconsistent Action Dimensions in Multiple Hierarchies.

Regularized nonlinear regression for simultaneously selecting and estimating key model parameters: Application to head-neck position tracking.

Layered Cost-Map-Based Traffic Management for Multiple Automated Mobile Robots via a Data Distribution Service.

Behavior Tree-Based Asynchronous Task Planning for Multiple Mobile Robots using a Data Distribution Service.

Correction to "Gaussian Process Online Learning With a Sparse Data Stream".

Attaining Interpretability in Reinforcement Learning via Hierarchical Primitive Composition.

Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters.

Diagnosis of obstructive sleep apnea with prediction of flow characteristics according to airway morphology automatically extracted from medical images: Computational fluid dynamics and artificial intelligence approach.

Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications.

Output feedback control design using Extended High-Gain Observers and dynamic inversion with projection for a small scaled helicopter.

Multifidelity Sampling for Fast Bayesian Shape Estimation With Tactile Exploration.

Customer-Specific Robotic Attendant for VR Simulators.

Model Predictive Tracking Control for Invariant Systems on Matrix Lie Groups via Stable Embedding Into Euclidean Spaces.

Gaussian Process Online Learning With a Sparse Data Stream.

Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning.

Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration.

Driving Assistant Companion With Voice Interface Using Long Short-Term Memory Networks.

Prediction of Abdominal Aortic Aneurysm Growth Using Dynamical Gaussian Process Implicit Surface.

Inferring Control Intent During Seated Balance Using Inverse Model Predictive Control.

Fully Bayesian Prediction Algorithms for Mobile Robotic Sensors under Uncertain Localization Using Gaussian Markov Random Fields.

Solutions to the Inverse LQR Problem With Application to Biological Systems Analysis.

Feature selection for position estimation using an omnidirectional camera.

Gaussian Process Regression for Sensor Networks Under Localization Uncertainty.

Mixed H₂/H_∞ Observer-Based LPV Control of a Hydraulic Engine Cam Phasing Actuator.

Environmental Monitoring Using Autonomous Aquatic Robots: Sampling Algorithms and Experiments.

Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields.

Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks.

Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields.

Mobile Sensor Network Navigation Using Gaussian Processes With Truncated Observations.

Hardware-in-the-Loop Simulation of Robust Gain-Scheduling Control of Port-Fuel-Injection Processes.

Adaptive Sampling for Learning Gaussian Processes Using Mobile Sensor Networks.

Learning Coverage Control of Mobile Sensing Agents in One-Dimensional Stochastic Environments.

Distributed learning and cooperative control for multi-agent systems.