Machine learning approaches for detection of robot errors in human brain signals
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Combining learning and structure for robotic manipulation
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Personalisierte Klassifizierung des Fahrstils durch maschinelles Lernen
Personalisierte Klassifizierung des Fahrstils durch maschinelles Lernen
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Latent State-Space Models for Control
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
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
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Fully bayesian vehicle tracking using extended object models
Fully bayesian vehicle tracking using extended object models
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Projekt IRiS - Gesamtabschlussbericht : Förderprogramm: IHATEC - Innovative Hafentechnologien
Self-supervised learning of primitive-based robotic manipulation
A Software Scheme for UAV's Safe Landing Area Discovery
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Data mining for quality control: Burr detection in the drilling process
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Physics-informed regression of implicitly-constrained robot dynamics
Adaptive human-robot policy blending for shared control teleoperation
Learning continuous human-robot interactions from human-human demonstrations