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Fuel cell vehicle and infrastructure learning demonstration status and results
Verzögern mit Rekuperation: Lernprozesse aus der Nutzerperspektive
Machine learning approaches for detection of robot errors in human brain signals
Degradation Mode Recognition for Battery of Electric Vehicle Based on ART2 Network
The learning process of accessibility instrument developers: Testing the tools in planning practice
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
Ein Knopf für alle Fälle. Haptisches Bediensystem setzt der Knopfflut im Kfz ein Ende
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Big Loop: Die vernetzte Karte für das automatische Fahren
Combining learning and structure for robotic manipulation
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
A reinforcement learning model for personalized driving policies identification
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Learning motion skills for a humanoid robot
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
A methodology for photometric validation in vehicles visual interactive systems
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A Software Scheme for UAV's Safe Landing Area Discovery
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Unconstrained licence plate and text localization and recognition
Adaptive human-robot policy blending for shared control teleoperation
DatEnKoST : Sachbericht/Schlussbericht
Learning through policy transfer? Reviewing a decade of scholarship for the field of transport
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Computational methods for cognitive and cooperative robotics
Learning curve analysis of concentrated photovoltaic systems
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Learning continuous human-robot interactions from human-human demonstrations
Physics-informed regression of implicitly-constrained robot dynamics
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Traffic Lights Control Using Reinforcement Learning: A Comparative Study