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Maschinelles Lernen
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keywords:("Maschinelles Lernen")
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
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
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
A Software Scheme for UAV's Safe Landing Area Discovery
Self-supervised learning of primitive-based robotic manipulation
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Physics-informed regression of implicitly-constrained robot dynamics
Adaptive human-robot policy blending for shared control teleoperation
Latent State-Space Models for Control
Learning continuous human-robot interactions from human-human demonstrations
Computational methods for cognitive and cooperative robotics
Batteriesimulation mittels dynamischer Datenmodelle für die Entwicklung elektrischer Antriebe
Estimating wildlife strike costs at US airports: A machine learning approach
Machine learning approach to ship fuel consumption: A case of container vessel
Ein neuer Ansatz zur Situationsprädiktion für weite Anwendungsfelder in Fahrerassistenzsystemen
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
Neural network full-body human predictive models and their use for coordinated robot motion planning
Using ultrasound images of the forearm to predict finger positions
Verbesserte Kursprädiktion durch maschinelles Lernen am Beispiel eines Kollisionswarnsystems
Learning efficient haptic shape exploration with a rigid tactile sensor array
Gaussian process regression for forecasting battery state of health
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction
Non-linear associations between the built environment and the physical activity of children
Verfahren zur Klassifikation von Ungänzen bei der optischen Prüfung von Batterieseparatoren
Modeling time-of-day car use behavior: A Bayesian network approach
Sampling-based exploration strategies for mobile robot autonomy