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Lateral Control Design for Autonomous Vehicles Using a Big Data-Based Approach
Condition Monitoring of Rail Vehicle Suspension Elements: A Machine Learning Approach
Railway Bogie Diagnostics Using Machine Learning and Bayesian Net Reasoning Approaches
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Learning motion skills for a humanoid robot
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Latent State-Space Models for Control
Multi-task Learning of Semantics, Geometry and Motion for Vision-based End-to-End Self-Driving
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Overview of Catenary Detection of Electrified Railways
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
A Grey Box Model Approach for the Prediction of Tire Energy Loss
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Catenary Support Components and Their Characteristics in High-Speed Railways
A Software Scheme for UAV's Safe Landing Area Discovery
Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry
A Machine Learning Approach to Load Tracking and Usage Monitoring for Legacy Fleets
Artificial Intelligence Empowered Models for UAV Communications
Adaptive human-robot policy blending for shared control teleoperation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s
Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery
Learning continuous human-robot interactions from human-human demonstrations
Computational methods for cognitive and cooperative robotics
Urban traffic control based on learning agents
Intelligent System for Railway Joint Diagnostics
Machine Learning Strategy for Wall Heat Flux Prediction in Aerodynamic Heating
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots