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Machine learning
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keywords:("Machine learning")
DatEnKoST : Sachbericht/Schlussbericht
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Probabilistic goal-directed pedestrian prediction by means of artificial neural networks
Adaptive human-robot policy blending for shared control teleoperation
Learning continuous human-robot interactions from human-human demonstrations
Environment modeling for automated driving using grid-based and object-based representations
Physics-informed regression of implicitly-constrained robot dynamics
Verhaltensentscheidung für automatisierte Fahrzeuge mittels Arbitrationsgraphen
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Simultaner Safety-Check von Trajektorien beim Automatisierten Fahren im Urbanen Verkehr
Computational methods for cognitive and cooperative robotics
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Failure Prediction for Autonomous Systems
Robust and Probabilistic Motion Prediction for Intelligent Infrastructure Systems
Latent State-Space Models for Control
SocialMedia2Traffic : Abschlussbericht
Neural network full-body human predictive models and their use for coordinated robot motion planning
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022
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
Sampling-based exploration strategies for mobile robot autonomy
Machine Learning im Cost Engineering des Supply Managements
Fully bayesian vehicle tracking using extended object models
Learning motion skills for a humanoid robot
Systemischer Ansatz zur Detektion von Lichtsignalanlagen in Kamerabildern
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Anomaliedetektion in räumlich-zeitlichen Datensätzen
Point cloud processing for environmental analysis in Autonomous Driving using Deep Learning
Deep learning on point clouds with applications in vehicle self-localization
Sliding-Mode-Lernverfahren für neuronale Netzwerke in adaptiven Regelungssystemen