Self-supervised learning of primitive-based robotic manipulation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Self-learning anomaly detection in industrial production
Motion planning for autonomous vehicles in partially observable environments
High-precision automotive radar target simulation
Self-learning longitudinal control for on-road vehicles
Limited information shared control and its applications to large vehicle manipulators
Optimization methods for developing electric vehicle charging strategies
Verkehrsphasenbasierte Datenanalyse von zeitlich-räumlichen Strukturen der Staufronten
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Stochastic range estimation algorithms for electric vehicles using data-driven learning models
Dynamic incentives for optimal control of competitive power systems
Characterisation and modelling of PC/ABS blends