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Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
Research on the air brake system of heavy haul trains based on neural network
Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
Adaptive human-robot policy blending for shared control teleoperation
Prediction of Zenith tropospheric delay in GNSS observations using support vector regression
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Sampling-based exploration strategies for mobile robot autonomy
AI-based Wave Prediction in Complex Plasmas
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Latent State-Space Models for Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Machine Learning Strategy for Wall Heat Flux Prediction in Aerodynamic Heating
Physics-informed regression of implicitly-constrained robot dynamics
Neural network full-body human predictive models and their use for coordinated robot motion planning
Examining optoelectronics in machine vision and applications in industry 4.0
Acoustic Monitoring of Rail Faults in the German Railway Network
The Causality for Climate Challenge
Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach
Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
A Grey Box Model Approach for the Prediction of Tire Energy Loss
Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery
Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers
Revisited: Machine Intelligence in Heterogeneous Multi-Agent Systems
Network Control Systems for Large-Scale Constellations
Small Satellites and Innovations in Terminal and Teleport Design, Deployment, and Operation