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Learning Driver Behavior Models for Predicting Urban Traffic Situations
Proceedings of the IUTAM symposium on optimal guidance and control for autonomous systems 2023
Adaptive human-robot policy blending for shared control teleoperation
Advances and Challenges in Advanced Unmanned Aerial Systems : Selected Contributions of ICAUAS 2023
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022
Advanced Optimal Control and Applications Involving Critic Intelligence
Advanced optimal control and applications involving critic intelligence
Environment modeling for automated driving using grid-based and object-based representations
Video Based Machine Learning for Traffic Intersections
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
A framework for current signal based bearing fault detection of permanent magnet synchronous motors
Deep learning for crack-like object detection
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Validating Machine Learning-based Highly Automated Driving Functions by Diversity
Self-supervised learning of primitive-based robotic manipulation
Self-learning longitudinal control for on-road vehicles
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Deep learning on point clouds with applications in vehicle self-localization
Point cloud processing for environmental analysis in Autonomous Driving using Deep Learning
Sampling-based exploration strategies for mobile robot autonomy
Adaptive and learning-based control of safety-critical systems
Intelligent Production and Manufacturing Optimisation : The Bees Algorithm Approach
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Machine learning and optimization techniques for automotive cyber-physical systems
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021
Deep reinforcement learning-based energy management for hybrid electric vehicles
Latent State-Space Models for Control
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Probabilistic goal-directed pedestrian prediction by means of artificial neural networks
Uncertainty Calibration and its Application to Object Detection
Instance segmentation and 3D multi-object tracking for autonomous driving
Physics-informed regression of implicitly-constrained robot dynamics
Failure Prediction for Autonomous Systems